Yalçın Karagöz, Sait Bardakçı The way to reach accurate information in a scientific research is to collect as much error-free data as possible. This is only possible with the use of reliable and valid measurement tools developed using scientific methods. In this book, it is aimed to discuss the development processes of a reliable and valid measurement tool in detail.
In the book, the development processes of questionnaires, scales and tests, which are measurement tools used in quantitative scientific research, are explained in detail with SPSS and AMOS solutions. The solution and interpretation of the examples for the types of reliability and validity that the scales should have have been tried to be presented in a simplicity that can be easily understood. The steps of adapting a scale developed in a foreign language into Turkish are also included. In the last part, data collection methods used in qualitative scientific research are discussed together with their strengths and weaknesses.
This book is a work that can be used by researchers who do scientific research, especially scale development studies, and students studying at the graduate level.

Çetin Toraman - Emel Akay - Hasan Fehmi Özdemir - Engin Karadağ This book is intended to explain to researchers how to perform multilevel regression models and analysis through the HLM program. In the first part of the book, which consists of four parts, the statistical foundations of multilevel regression models have been tried to be mentioned. In the second, third and fourth sections, applications are given on a completely exemplary research situation. In these sections, firstly, an exemplary research situation is explained, then how to transfer the data of this research situation to the HLM program and how the analysis is carried out are explained in detail with visuals. Since one of the most important problems for researchers is how to report their analyzes, a table and an example of interpretation are also included in the sections where the applications are made. In the book, the application of analysis is given priority rather than theoretical foundations.

Gülay Demir, Ahmet Turan Özyalçın, Hüdaverdi Bircan In order to produce an effective and rational solution to decision-making problems, the purpose of the task should be clearly formulated, a set of criteria should be defined, and the selected criteria should be weighted with the most appropriate method. It should be analyzed with scientific-based multi-criteria decision-making methods that allow researchers to choose the most effective and most appropriate solution among the available alternatives.
This book has several features. First, it will help researchers or decision makers find the necessary methods for the problems they need to analyze, by categorizing the methods as those that weight criteria and those that rank alternatives. Secondly, those who want to gain in-depth information about a particular method can access the "general information" section of each method. Third, a total of 27 methods used for weighting and ranking were solved with the developed MCDM software. It is thought that this will have two great benefits for the reader. By combining information and theoretical content, readers can easily see how the method works in practice through the example. They can also facilitate the decision-making processes they have to solve by seeing how the method can be used in practice. Fourth, they can benefit from the answers of the exercises solved by signing up on the website established as an online platform, and they can reach the solution of any decision problem within seconds by entering a new problem and using 27 methods defined in the system.

Abdullah Yıldızbaşı, Ahmet Aktaş, Ahmet Çalık, Aslı Çalış Boyacı, Aylin Adem, Babak Daneshvar Rouyendegh (B.Erdebilli), Barış Özkan, Billur Ecer, Burcu Yılmaz Kaya, Cevriye Gencer, Cihat Öztürk, Elif Kılıç Delice, Emel Kızılkaya Aydoğan, Emine Nur Nacar, Emre Çalışkan, Erdem Aksakal, Eren Özceylan, Ergün Eraslan, Erkan Köse, Gökhan Özçelik, Gülçin Canbulut, Hüseyin Avni Es, Mehmet Akif Yerlikaya, Mehmet Kabak, Metin Dağdeviren, Mihrimah Özmen, Neşe Yalçın, Nimet Yapıcı Pehlivan, Özer Eroğlu, Serhat Aydın, Tolga Genç, Yetkin Çınar, Yusuf Tansel İç, In this book, 21 of the Multi-Attribute Decision Making (MCDM) methods are presented in a specific systematic, with both their mathematical background and managerial applications. Examined methods: AHP, ANP, DEMATEL, ELECTRE, PROMETHEE, TOPSIS, VIKOR, MOORA, ENTROPI, COPRAS, SWARA, WASPAS, SMAA, GRA, MABAC, ORESTE, TODIM, ARAS, EDAS, CODAS, MACBETH. In the book, the theoretical part of these methods, which are widely used in MLKV, are explained in detail and their applications with MS Excel solutions for real problems are given. Applications can be easily accessed from the publisher's website. Although there are free/paid software for some MLKV methods, it is beneficial for the readers to examine the applications with MS Excel solutions after absorbing the theoretical part. Applications with MS Excel solutions, which are presented with the book, can be developed specifically for the problem, for applications to be made with methods that do not currently have existing software. For methods with software, researchers/managers who have completed this process can easily interpret and analyze the results of the software.

“Multi-Criteria Decision Making Methods: MS Excel® Solutions for Applications I consider one of the most comprehensive books ever published in this field. There are 22 chapters in the book, which are covered in a wide range from the most known and used methods to many new methods developed in recent years and prepared by experts in the subject. The presence of solved problems prepared on current issues in each chapter adds a special value to the book. I am really pleased that such a qualified study has been prepared in the Turkish language of science.
The editor of the book, Prof. Dr. Mehmet Kabak and Assoc. Dr. I congratulate Yetkin Çınar for his success in bringing together experts working on multi-criteria decision making at different universities. I congratulate the authors of the chapters, each of which has been prepared successfully, for their contributions to the Turkish scientific world. I would like to thank all the referees who contributed to the preparation of the book.”
Prof. Dr. Cengiz Kahraman
ITU Industrial Engineering Department
“Decision making is a process of selection and qualification that people face at every moment. There is a serious need for a systematic analytical flow, depending on the size of the decision under consideration. In addition, considering the decision problem together with the criteria in the ecosystem and evaluating it in terms of these criteria is of great importance in terms of the accuracy and validity of the decision. Within the scope of this book; The systematic handling of the decision process, the determination of the most appropriate method and its evaluation with a systematic analytical flow have been successfully handled with real-life applications. In particular, analytical decision-making approaches are explained in a detailed and understandable way. I think that the book will be an important reference source for every evaluator who will take part in the decision process, and it will be a masterpiece for students who want to examine this process.”
Prof. Dr. İhsan Kaya
Yıldız Teknik University

Hakan Eygü The fields of probability and statistics, which are widely used in many fields today, contain theorems that are difficult to understand and are complicated by students. Therefore, the aim of this book is; The aim is to teach probability and statistics fields more easily to students studying in all departments of universities, especially science, social and health, with an easy-to-understand expression and using a plain language. In order to achieve this, many solved examples from daily life are given in the chapters and at the end of the chapters of the book.
Since the book is prepared in accordance with the contents of Probability and Mathematical Statistics courses, which are generally taught in two semesters in many departments of universities, the textbook at the undergraduate level can also be used as a supplementary resource in graduate programs.

Hüseyin Bereketoğlu This book was created by blending the lecture notes used for years for the Differential Equations course taught in the Department of Mathematics, Faculty of Science, Ankara University, with the current literature, and rearranging them in the required width and depth in an original way. Consisting of fifteen chapters and 554 pages, this book is designed to be taught in undergraduate mathematics programs for two semesters.
In this book, basic concepts, theorems and solution methods, which are indispensable for differential equations, are emphasized and attention is drawn to the real-life application areas of differential equations. Graphs were drawn, tables were set up, sufficient number of examples were solved and many exercises were given so that the concepts, theorems and solution methods covered could be easily understood. In addition, sample problems for different application areas of differential equations were examined and a series of exercises were prepared in this context. Finally, the answers to most of the exercises left to the reader are shared at the end of the book for self-control. In this respect, this book has general norms that can be followed and taught as a textbook not only in mathematics departments, but also in physics, astronomy and space sciences and engineering departments. In summary, anyone who has undergraduate or graduate education in basic sciences, engineering, economics and health and needs differential equations can easily benefit from this book as much as they want.

Aziz Kutlar Today, one of the most important areas of interest in social sciences is empirical studies. As a methodological science, econometrics is in a position to guide a number of social sciences, especially economics, in terms of method.
It is thought that this book, which is prepared at a level that can be understood by undergraduate and graduate students studying in economics, econometrics, business and industrial engineering departments of universities, and psychology, sociology and similar departments, will significantly compensate for the problems related to the method.
In the book, besides the theoretical information, plenty of deciphered examples and comments are included.

Bekir Kürşat Doruk, Cahit Aytekin, Fatih Karakuş, Gülşah Batdal Karaduman, İbrahim Çetin, İlknur Özpınar, Mehmet Filiz, Melike Tural Sönmez, Muhammet Arıcan, Oğuz Köklü, Serdal Baltacı, Suphi Önder Bütüner, Şahin Danişman, Tuba Gökçek Probability and Statistics teaching aims to develop data collection tools for students to analyze real-life problems, to acquire data, to visualize these collected data or to interpret them through various calculations. When the studies are examined, it is seen that both students and teachers experience various difficulties in the teaching and learning of probability and statistics. The reasons for these difficulties are that most of the students try to memorize the formula instead of understanding the subject, cannot understand the question and cannot use appropriate teaching materials. This work, which was prepared to establish a solid bridge between theory and practice in the teaching of probability and statistics, The First Step to Data Science: Teaching Probability and Statistics, Basic Concepts and Teaching Related to Probability, Use of Simulation in Teaching Probability, Teaching Probability Distributions, Statistical Problem Solving Process: Research Question It consists of 9 main sections under the headings of Creating, Data Collection, Organizing and Analyzing, Distribution Concept and Teaching Frequency Distributions, Teaching Central Tendency Measures, Teaching Central Dispersion (Change) Measures, Difficulties Experienced by Students, Causes and Solution Suggestions.
Each of the sections in the work; It has been written by academics who are experts in their fields and continue their academic studies in different universities in Turkey. We hope that the prepared work will be beneficial to academicians, teachers, students studying in undergraduate and graduate programs with its rich content and application examples and will contribute to the field of mathematics education.

Ejder Ayçın, Pembe Güçlü, Muhammed Maruf, Onur Özveri Statistics; It is an interdisciplinary science that facilitates collecting data, classifying data, making sense of it by analyzing, explaining, evaluating and interpreting data on a particular subject, making it easier to draw conclusions, obtain information and/or make decisions. Statistical methods, which are used in studies carried out in many fields from biology to chemistry, from environmental sciences to economics, from sociology to space sciences, from medicine to actuarial, are frequently applied in the business world besides academic life. At this point, it is seen that the importance of statistical literacy has increased.
In the Business Statistics book; basic statistical concepts, subjects and analyzes were tried to be exemplified by associating them with the field of business administration. At the end of the chapter, it is aimed to use Excel and SPSS applications and the theoretical information about statistics by real users more quickly, effectively and widely.
The book can be used as a textbook in departments within the faculties of economics and administrative sciences of universities, or as a bedside book for working life.
“Knowledge is knowing what we know and what we do not know. With what we know we discover what we don't know, so knowledge expands. With more knowledge, we begin to know that we do not know more. Thus, knowledge expands without stopping.

Meral Sucu, Funda Kul This book has been prepared as a textbook for Finance Mathematics courses given in Economics, Business Banking, Finance and Actuarial departments of universities. It will be a resource book that can be used by candidates who will take the Capital Markets Board (CMB) Licensing exams and Actuarial exams.
The topics in the book were written in a simple language, and it was tried to ensure the intelligibility of the topics with many examples. With the different exercises given at the end of each chapter, the knowledge was reinforced.
The book consists of six chapters. In the First Chapter, time value of money, interest problems are discussed and interest and discount types encountered in practice and academic studies are given in detail. The subject of definitive annuities is explored in Chapter Two of the book. In Chapter Three, annuities with variable payouts, which can be made at different frequencies from the interest conversion period, are discussed. In the fourth chapter of the book, the debt payment methods, Depreciation and Debt Payment Fund methods, are examined in detail and the relationship and differences between them are emphasized. In the Fifth Chapter, commonly used investment instruments in financial markets are introduced and the valuation of these products is examined. In Chapter Six, derivatives markets and derivative products are discussed in detail and models used for pricing derivatives are explained.
The book will be useful as a textbook for people and students interested in finance.

Kaan Zülfikar Deniz Although statistics is a very easy field to learn, the learner's own affective barriers can prevent learning. When we look at those who have problems in learning statistics, it is seen that most of these individuals have had negative experiences in numerical or statistics courses in the past.
This work, named Statistical, provides a practical learning resource for researchers, academicians and students working in both social sciences and other fields of science, without overwhelming the learner with statistical formulas. A self-resource has been created for all the information needed for introduction to statistics and the application of fundamental analysis.
The first part of the book has a structure that is explained simply and reinforced with real-life examples. The statistical information in the first part forms the basis of the subjects in the second part. In the second part, the introduction of the SPSS program, the explanation for all statistical analysis, the visual processing steps of the SPSS application of the relevant subject, the introduction of the SPSS results, the tabulation and interpretation parts in accordance with the APA format, which is frequently used in social sciences. In addition to these, the most common mistakes in the relevant statistics at the end of each topic and the special situations that the researcher may encounter and the solution proposals, which consist of their solution suggestions, are in the nature of answers to the questions that most researchers cannot find answers to. The book aims to provide permanent learning as a whole and systematically.

Bülent Yılmaz This course book has been prepared on the basis of the content of the courses taught under the name of Statistics, General Statistics and Introduction to Statistics in Education Faculties, Science and Literature Faculties and Vocational Schools (Health Vocational Schools).
In the first chapter, the concepts of statistics and graphics, series and frequency curves are emphasized. In the next chapters, probability and probability function, expected values and moments, distribution theory, correlation and regression are studied with extensive examples.

Burak Birgören Imagine a product that you use a lot, and then think about the most important feature that determines the quality of that product for you. For example, this could be the life of the battery for a mobile phone. What would you say if you were told that none of the original batteries placed in the same brand and model product are exactly the same, or even if you are unlucky, you will come across a battery with a short lifespan and therefore the battery will run out after 6-7 months of use?
The first explanation that manufacturers will make to unlucky customers is that this is usually due to incorrect or heavy use. But let us tell you a secret. There may also be serious differences between the lifetimes of batteries used in exactly the same conditions. Such differences appear in a wide variety of products such as white goods, electronic goods, automobiles, and in the various features of these products. The engine sound insulation of two cars of the same model is not at the same level, such as turning the knob of one of the two dishwashers of the same model is easy and the other is difficult. In addition, the same problems are valid for a company that purchases raw materials or semi-finished products from a supplier. These differences are due to the fact that the products cannot be produced exactly as they were designed. This leads to serious customer dissatisfaction and loss of customers. For this reason, systematic studies are carried out in all sectors to make production more suitable for design.
All studies conducted for this purpose fall within the field of statistical quality control. The main subjects of these studies are the measurement of product features, quality characteristics in technical terms, statistical modeling and analysis of measurements, and as a result, the discovery and elimination of the causes of non-compliance with the design. Today, we see that these studies are sometimes carried out in the form of total quality management, sometimes ISO 9000, and sometimes six sigma applications. After discussing these different quality management approaches in the book, the methods used for statistical quality control are explained with various industry applications.

Adil Oğuzhan, Aylin Alın, Deniz İnan, Dilek Altaş, Emel Kuruoğlu Kandemir, Ersin Kıral, Gülin Tabakan, Gülsen Kıral, Handan Yolsal, Latif Öztürk, Nazif Çalış, Özlem Akay, Özlem Türkşen, Özlem Yorulmaz, Seda Şengül Statistics is widely used in all fields of science and many business fields because software package programs have developed by following theoretical developments. In an environment dominated by uncertainty, it is extremely important to ensure that statistics, which are used as a tool for making the right decision, are learned and comprehended both theoretically and practically. In our opinion, the most important feature of this book is that it has been prepared in such a way as to support the distance education system and self-learning effort, which has become widespread with the Covid-19 epidemic, both theoretically and practically. Therefore, in the book; first, the theoretical explanation about each section was made comprehensively, interpreted in detail with solved examples, and then the examples related to the subjects were applied using Excel, SPSS, Matlab or R software packages. Thus, it is aimed to minimize the need for teachers and classroom environment as in traditional formal education. With this book, it is expected that the deficiency in the self-learning, application and interpretation of statistics will be eliminated.

Asiye Şengül Avşar, Cansu Ayan, Çiğdem Akın Arıkan, Eren Can Aybek, Fatih Orçan, Fulya Barış Pekmezci, Sinem Demirkol, Seher Yalçın, Tuğba Karadavut In scientific research, it is important that the data analysis is done correctly, accordingly the findings are interpreted correctly and the results are delivered to the readers correctly. In this book, Jamovi, one of the open source and free software that can be used in data analysis, is introduced and sample data analyzes are carried out.
In the book, respectively; Introducing Jamovi, descriptive statistics, comparison of sample means, correlation, regression, exploratory factor analysis, reliability analysis, confirmatory factor analysis, mediation and regulatory analysis, effect size and power analysis, Rasch model and changing item functions in the context of item response theory with examples. explained practically. Our readers can access the data sets used in the sample applications with the QR code given in the foreword. It is thought that repeating the process steps described in the book over these shared data sets is important in increasing the permanence of learning.
Easy Statistics with Jamovi book; It is expected to guide researchers working in the field of social sciences, undergraduate and graduate students in performing their analyzes easily and without making scientific mistakes.

Ahmet Günay, Ali Murat Alparslan, Bekir Çetintav, Birsen Özalp, Elif Baygın, Elif Tatlı, Fatih Demir, Gül Bilgin, Hakan Demirgil, Halil Aslan Kılıç, Mehmet Ali Taş, Mehmet Özmen, Melis Özgiller Orhun, Mücahit Avcı, Nurdan Oral Kara, Oğuzhan Kürşat Uçar, Ömer Faruk Oktar, Ömer Lütfi Antalyalı, Seher Yastıoğlu, Selda Limon, Sema Polatcı, Tolga Gül We envied the plain and pleasant structure of Jamovi and wanted to prepare a user-friendly book worthy of it. First we set our goal. Our goal is; so that a researcher can learn to do his own analysis in an enjoyable way. In order to achieve our goal, we had to provide the information that the researcher might need while analyzing, in a plain and fluent language without entering into discussions. For each analysis, we created a research story. We wanted to immerse the reader in the story by staying away from a cold or unpleasant academic language. We tied the story to a research question. We made our readers feel that statistics is a tool to satisfy their curiosity. Afterwards, we explained all the steps of the relevant analysis with screenshots in Jamovi. We could have stopped at this point, but the researcher's need did not end there. How would the analysis results be reported? In order to meet this need, we first explained how to write an academic report after each analysis. Afterwards, we completed the study by showing how to report the results of the analysis in everyday language for practitioners.
We think that this book will contribute especially to social scientists who will just start statistical analysis. With this intention, each of our writers showed special sensitivity to their own section. They were patient with the feedback we gave and re-edited their sections to increase clarity. In addition, we gave our readers the opportunity to access the data sets in digital environment so that they can repeat the analyzes they learned in all sections. The Jamovi team has done its part to show that statistics is a pleasant world; We tried to do our part with the same motivation.
We hope that this book, which we have prepared in order to contribute to the research journey of new researchers and to make the analysis process enjoyable, will lead to many researches...
Analysis knowledge and range is a master's toolbox. The more various tools he has in him, the higher his capacity to solve the problems he encounters, whatever the type.

Ebrucan İslamoğlu This book, titled Modern Time Series and Methods, which was prepared with the motivation created by the lack and need of Turkish resources on the subject of contemporary time series methods, consists of nine chapters. The book, which is prepared in a way that can be used by both graduate students and anyone interested in the subject, includes the most up-to-date topics related to modeling and prediction of time series methods, and a simple and plain language is used in the narration.

Sedat Şen Structural equation modeling has become a frequently used methodology both in social sciences and other fields in recent years. This methodology can be used in analyzes such as scale development, examining the psychometric properties of the scale, measuring invariance, testing multivariate models, estimating direct and indirect effects, as well as providing researchers with the opportunity to test their theories on empirical data. As in other multivariate statistics, advanced computer software is needed for parameter estimation in structural equation modeling. Mplus program, which is among the structural equation modeling software, has become a prominent latent variable program in recent years thanks to the flexibility it offers. This book, which is the first work on the Mplus program written in Turkey, focuses on how to implement structural equation modeling applications with the Mplus program; Path analysis, confirmatory factor analysis, structural regression, latent growth models and applications of multigroup and multilevel models are included in the Mplus axis. The main purpose of this book is to facilitate the understandability and applicability of structural equation modeling for readers. Hope it will be a useful reference resource for anyone who plans to use structural equation modeling in their research with the Mplus program...

Ali Osman Kuşakcı, Berk Ayvaz, Oğuz Borat simulation; It is a powerful tool for the design, modeling, analysis and optimization of systems and is one of the target technologies of the 21st century. This book is addressed to many different beneficiary groups, especially to engineering program students such as Industry and Mechanical engineering, where Simulation courses are taught, and professionals working in this field. For this reason, each chapter is written in as simple a language as possible and with an application-oriented approach, and is enriched with over 160 solved examples.
In the lecture, solved examples designed in different fields such as engineering, aviation, finance, manufacturing systems, logistics were used.
In the book, statistics and probability theory and distribution functions for deterministic and stochastic processes are summarized before introducing systems modeling. While dealing with discrete event simulation, data collection, measurement, basing the data on a probability distribution function and determining the distribution function parameters, Monte Carlo method were highlighted. The use of the Arena program, which is a special software designed for simulation, is demonstrated.
Laplace-Laplace inverse transforms, which are necessary for Computational Simulation, and modeling of control systems are introduced; The use of Matlab's Simulink plugin used in this area is shown.
This book, in addition to being used as a textbook at undergraduate and graduate level in its field, has been presented to the benefit and appreciation of professionals, students and academicians working in the field of simulation, in the hope that it will fill the gap in copyrighted work.

Satılmış Tekindal This book includes quantitative, qualitative and mixed method research designs and statistics. Book; introduction to research, research problem, hypotheses and variables, measuring variables, universe and sample, quantitative research designs; single-subject studies; internet-based research; data collection methods, observation, questionnaire, interview; analysis of quantitative data, descriptive and descriptive statistics (hypothesis testing); qualitative research designs, analysis of qualitative research data; mixed method research designs, analysis of mixed method research data; It consists of the main parts of writing a research proposal and writing the report of the research.
The differences of this book from other research books are; explaining internet-based research in which there are rapid developments in that direction and showing how to do it; The aim is to integrate quantitative, qualitative and mixed method research approaches within the framework of scientific method, and to show which and how to use descriptive and descriptive statistics in accordance with research designs.
The book is an exemplary book based on practice rather than theory, which can be easily used by undergraduate and graduate students, lecturers, teachers and other interested parties who want to do research, and will guide them to do their own research. With the hope that it will contribute to science and the field and be useful to all concerned...

Tahir Khaniyev - İhsan Ünver - Zafer Küçük - Tülay Kesemen In this book titled "Solution Problems in Probability Theory", we have included the original problems we have created as well as the problems in Turkish, Azerbaijani, English and mostly Russian sources. Our main aim in this study is to enrich students' mathematical thinking structures by enabling them to see as many problems as possible. We believe that this problem and exercise book, the first edition of which has been published, will be useful to all students taking probability courses.
In the first part of the book, after giving examples on “Basic Concepts of Probability Theory”, briefly permutation and combination, there are many examples suitable for n >2 dice rolls, especially among the examples suitable for the classical probability definition. In addition, examples that use probability rules related to the combination of at least two events are given weight. The probabilities of independent events, fully independent events and conditional probability, Bayes' theorem and problems complying with the total probability formulas are prepared. Finally, in the first chapter, very comprehensive geometric probability questions are solved.
The second part is devoted to discrete and continuous probability distributions. Bernoulli, binomial, discrete regular, geometric, negative binomial, hyper geometric, Poisson distributions from discrete distributions, regular, exponential, normal, Gamma, Weibull, Beta, Cauchy distributions from continuous distributions are discussed.
In the third chapter, problems on "Numerical and Functional Characteristics of Random Variables" are expressed and their solutions are presented to the reader in the form of exercises. In this section, the expected value, variance, higher order moments, moment generating and characteristic functions of random variables are examined.
We believe that it will be very useful to the faculty members who recommend this book as a supplementary book in our universities and to the students who apply to benefit from it.

Memmedağa Memmedli, Dursun Aydın This textbook, which was written for undergraduate and graduate students, covers the second part of the "Probability and Statistics" course taught at universities, statistics and applications.
Book; It has been prepared by taking into account the concepts, basic theoretical issues and sample problems for application, which are suitable for the content of statistics courses. Basic topics of statistics such as sampling distributions, rank statistics and distributions, point and interval estimations, hypothesis testing are discussed in detail by making many sample solutions.
This textbook; It is designed as a resource for undergraduate and graduate students studying in Science, Engineering, Medicine, Technology and Economics and Administrative Sciences, among the faculties where statistics are used extensively. This book can also be used as a reference book for lecturers who teach outside the statistics departments.
In the book, 177 solved examples and 316 end-of-chapter exercise questions are included in terms of practice. These questions are based on typical mistakes and misconceptions that students can make.

Abdulkadir Haktanır, Binaz Bozkur, Bülent Dilmaç, Gün Pakyürek, Hayri Koç, M. Furkan Kurnaz, Mustafa Otrar, Tolga Seki, Vezir Aktaş, Yeliz Kındap Tepe Success in statistics is closely related to statistical thinking, reasoning using the rules of statistics, and being able to establish a relationship between the principles and operations of statistics and real-world conditions. It is important for students in all areas of the academic world to understand the interaction between the questions and answers of statistics and the questions and answers of scientific research. This book was written to meet the needs of social scientists in particular regarding basic and advanced statistical analyses used in scientific research. The content was determined by taking into account frequently encountered research situations and their reflections in daily life. All subject explanations are supported by rich sources and visuals that facilitate understanding. It is hoped that the book will be helpful to academics, especially graduate students and researchers studying in social sciences.

Ahmet Mete Çilingirturk, Ayşe Oğuzlar, Ayşegül İşcanoğlu Çekic, Burcu Kocarık Gacar, Ceren Camkıran, Dilek Altaş Karaca, Duygu Usta, Elçin Timur Çakmak, Elif Çiğdem Keleş, Gülen Arıkan Kokkaya, Gülsen Kıral, Hasan Arda Burhan, Haydar Ekelik, İ. Esen Yıldırım, İpek Deveci Kocakoç, Kevser Tüter Şahinoğlu, Kubilay Erişlik, Meryem Pulat, Mine Aydemir Dev, Münevver Turanlı, Naciye Tuba Yılmaz Soydan, Nuran Bayram Arlı, Nurdan Çolakoğlu, Özgur Çakır, Özlem Deniz Başar, Özlem Ergut, Özlem Yorulmaz, Seda Bağdatlı Kalkan, Selay Giray Yakut, Serpil Kılıç Depren, Sevda Gürsakal, Şahamet Bülbül, Turgut Un, Tutku Tuncalı Yaman, Ünal Halit Özden, Yasemin Koldere Akın Since the units examined in the studies in the field of social sciences have various characteristics, the data is defined by more than one variable. In the case of a large number of variables, multivariate statistical analysis techniques are needed to analyze them together.
In this book, which is prepared as an undergraduate and graduate level textbook, multivariate statistical analysis techniques are discussed both theoretically and practically. In addition to the main multivariate statistical analysis techniques, advanced multivariate statistical analysis techniques are also included in the book. Analysis techniques in the content of the book were explained within the framework of basic conceptual information and applications were made with Stata, SPSS and R programs.
In order to guide students and researchers who will apply multivariate statistical analysis techniques, the book includes applications on various subjects in the field of social sciences, and attention has been paid to the detailed interpretation of the analysis results. Since these applications seek answers to various research questions by using real data, the book also has the feature of a research book, so it can be used by sectoral researchers, undergraduate and graduate students in all areas where multivariate analysis techniques are applied.
This book, which consists of twenty-one chapters, has been prepared by academics working at various universities in Turkey, whose fields of expertise are statistics, econometrics and operations research, and includes the following topics.

• Basic Assumptions of Multivariate Statistical Analysis Techniques
• Analysis of Data Entry and Multivariate Analysis Assumptions with Stata, SPSS and R Programs
• Multiple Linear Regression Models
• Logistic Regression Analysis
• Multivariate Analysis of Variance
• Factor Analysis
• Cluster Analysis
• Discriminant Analysis
• Canonical Correlation Analysis
• Multidimensional Scaling Analysis
• Reliability Analysis
• Conjoint Analysis
• Compliance Analysis
• Classification Decision Trees
• Artificial neural networks
• Survival Analysis
• System Simulation
• Hidden Class Analysis
• Text Mining

Yalçın Karagöz With this book, the researcher; will be able to analyze and interpret the results by looking only at the subject of interest, without examining the entire book. This book has been prepared for undergraduate, graduate and especially scientific research. Regarding the subjects, the examples were solved first theoretically and then with SPSS, AMOS and META package program. In this book, single and multivariate statistics are explained almost completely. In addition, since the book also contains theoretical information, it can be preferred in undergraduate and graduate education.

Yalçın Karagöz This book; specially prepared for scientific research. The examples related to the subjects were solved first theoretically and then with SPSS, AMOS and META package program. A researcher who wants to do statistical analysis; will be able to analyze and interpret the results by looking only at the subject of interest without examining the entire book.
The book has been prepared by taking into account the contents of SPSS, AMOS and META package programs, which are frequently used in scientific research. In addition, MINITAP package program was used for power analysis.
In the classification of analysis techniques; The number of variables, data characteristics and the purpose of the analysis were taken into account. Almost all univariate and multivariate statistical analysis methods are explained. Almost all of the parametric and non-parametric statistical analysis methods are explained. In addition, association measures, reliability and item analysis, structural equation modeling were examined in detail.
Although this book has been prepared especially for scientific research, it can also be used for undergraduate and graduate education since it also contains theoretical information.

Yalçın Karagöz This book has been prepared for undergraduate, graduate and especially scientific research. In this book, in quantitative, qualitative and mixed research, how the research process (determining the research problem, establishing hypotheses, determining the sampling method, data collection, reliability, validity, analysis of the data, evaluation of the findings, reporting, publication ethics etc.) will be carried out, quantitative, qualitative and mixed research. terms of use of analysis methods, use of package programs (SPSS-AMOS-META) in the analysis of data, statistics specific to the field of health, etc. tried to be given. In quantitative methods, parametric and nonparametric techniques and their differences, analysis methods to be applied according to these differences are given. Similarly, the differences between qualitative methods and the situations to be applied according to these differences are given.

Aziz Kutlar Today, time series or similar courses are taught in economics, business, health and engineering departments of universities. Researchers doing postgraduate education in these departments are much more interested in time series. The most important reason for this is observing how a series of variables change over time, wondering how these variables will take shape in the future, and being the subject of academic studies.
This book does not go into much of the theory or mathematics of time series. Only mandatory equations are included. Most of the time series employees see the problem of how to create a suitable model with a more suitable program, not the mathematics. We also planned to use a methodology that can be easily understood by every researcher, by following a simpler, more understandable and more easy-to-understand way. You will notice this easily when you start working.

Neyran ORHUNBİLGE In the author's 6-book statistics series, this book, which is an introduction to statistics and addresses the basic concepts of statistics, probability and probability distributions, appealing to a wide audience and in a plain language, has been updated and presented to the readers after the first edition has been exhausted and a new printing request has been received for years.
The topics covered are written in a plain language that the reader can understand. Answering the why question for each concept and method, as well as the how question, helps those who are interested in the subject to decide more easily which method to use in which situation. Numerous original examples and detailed solutions in the book provide great convenience in understanding the subjects.
Students, researchers and decision makers who are interested in statistics should benefit from this book or a similar book containing the same topics at the beginning, and should learn probability and probability distributions as well as descriptive statistics.

Akif Avcu Today, many different statistical processes have become an integral part of test development processes in order to examine the qualities that measurement tools should have. With the widespread use of measurement tools, these procedures have been accepted as a "standard" for many researchers. In particular, confirmatory factor analysis and explanatory factor analysis are carried out to examine the construct validity. On the other hand, it is seen that these analyzes carried out today are carried out with techniques based on item response theory. In addition, the examination of structural equivalence, person congruence, and differentiated item functions are increasingly used in studies to determine validity. In addition to providing theoretical explanations on this new understanding of the validity and reliability, this book also includes a content that explains how the analyzes are carried out in the R software environment and how the findings are interpreted. For this reason, the R software environment is introduced in a part of the book. In order to make it easier for researchers to make applications, the R codes of the sample analyzes and the data sets used are also available to the readers. With this book, it is hoped that the frequency of use of modern test development applications in future studies will increase.

Aziz Kutlar Today, econometrics has become one of the indispensable analysis tools of economics. All kinds of approaches within the scope of economic theory are subject to econometrics. One of the most important reasons for this is that this branch of science is increasingly dealing with numbers, and the second is the rapid development in computer technology. Tests and predictions of the most complex theories are finalized in a very short time by computer programs. Within the framework of these observations, this book in your hand aims to make econometric analysis, which has become boring with numbers, cute and understandable through computer programs. It is thought that such a study will be very useful for those who are too afraid of mathematics and numbers. In the book, a number of programs (PcGive, PcFiml, etc.) operating under EViews, SPSS, MINITAB, and GiveWin, which are widely used in the world and in Turkey, are included.

Neyran Orhunbilge The book presented by the author to the members of the jury as a “Professor Presentation” is the first of the 6-book Statistics Series. "Regression and Correlation Analysis", which is one of the most fundamental subjects of "statistics", which in a sense forms the basis of "Multivariate Statistical Methods", is discussed in detail in the book, which was published for the first time in 1996, for the second edition in 2002 and for the third edition in 2017.
As it is known, this analysis, which is one of the most frequently used methods in determining "Forecast and Policy" especially in Business Administration, is examined theoretically by distinguishing between population and sample in the book, the validity of the assumptions is examined, and how to find solutions for deviations from the assumptions, if any, is included. Applications are presented both with detailed solutions and as computer (SPSS Program) outputs.

Feyyaz Cengiz Dikmen Many useful methods for data analysis have been developed in the field of statistics, and most of these methods are ready and waiting to be used in R. Interest in R language(m) is increasing day by day as it makes it possible to access many resources and data on the internet. The data to be used in practice is also very important, especially for understanding a statistical analysis. In addition to the datasets built in the R language, every web page describing statistical data analysis using the R language also includes application data. This leads to an easy comprehension of the R language. Another advantage of the R language is that high quality graphics can be obtained by easily installing various graphics software packages into the R environment. It is also free and flexible since it is open-source. Authors of new statistical methods contribute regularly to many libraries in R, so R is a living language.
With these features, it is a unique software for undergraduate, graduate or doctoral students. It is a very enjoyable, attractive and indispensable language for those who work in the fields of statistics and econometrics, as it has a wide range of resources and is easily accessible. This book aims to spread, popularize and support the use of the R programming language within the framework of the above-mentioned motives and is designed for all scientists who need to analyze data on their own. Intended for practitioners faced with data analysis, this book is practice-oriented in this respect. I hope that the book, in which the writing of mathematics is reduced as much as possible, and more attention is drawn to examples and intuition, will be useful...

Emre Yakut, Erkut Tekeli, Hayri Abar, İlkay Altındağ, Orhan Abar, Ömer Faruk Rençber, Özlem Akay, Özlem Kuru, Sinan Mete In today's world, billions of data are produced every second. However, due to the abundance of data produced, today's age is called the "Big Data Age" or "Information Age". Transforming data into information in a qualified sense is of great importance in terms of both macro and micro aspects.
Data mining is the name given to the whole process of compiling, analyzing and converting data into qualified information output. Data mining applications in the literature; clustering, regression, classification or association rule inferences. In this respect, after the book titled "Clustering Algorithms Used in Data Mining and Applied Examples with R" published in 2020, this book on regression models was presented to your benefit. In this book, the concept of data mining has been defined in general, and then the models have been examined one by one. Hoping that this important resource will contribute to readers and researchers...
Topics covered in this book are as follows:
1. Introduction to Data Science and Machine Learning
2. Linear and Curvilinear (Polinomial) Regression Analysis
3. Decision Tree and Random Forest Regression Model
4. MARS Method
5. Support Vector Machines
6. XGBOOST Method
7. LightGBM and Catboost Algorithms
8. Artificial Neural Networks
9. ARIMA and LSTM Model
10. Convolutional Neural Networks (CNN)

Kenan ÖZDEN, Sait GÜL The purpose of this book is to help students studying in the departments of Industrial, Business and Systems Engineering, Business Administration, Economics, Econometrics and Mathematics in universities and Military Academy, regarding the effective, economic and efficient use of resources such as human, material and machinery for business purposes in their working lives, is to provide the opportunity of a textbook or a supplementary textbook where they can learn quantitative models and techniques that will help them in solving the problems they will encounter in system and process design, planning, control, problem solving and decision making.
Operations Research, especially II. Since it found its first applications in solving military problems during World War II, it is an important decision-making tool for the management of the Armed Forces as well as in the management of enterprises and other organizations. In this respect, in addition to respecting the military origin of this field of science, considering that the book can also be used as a course aid in the Military Academy, military example problems and concepts are included from time to time as well as sample business problems.

Erol Eğrioğlu, Eren Baş In the book named Time Series and Forecasting Methods; All forecasting methods, from basic to advanced, are introduced with R applications. The book has been prepared with the intention of being a bedside book for researchers who want to train themselves as predictors and practitioners who need foresight methods. In the book, subject introductions are tried to be given by creating a good balance of theory and practice. In addition to the classical prediction methods, popular methods such as artificial neural networks and deep learning methods as artificial intelligence prediction methods have also found their place in the content of the book. R applications of all the methods given in the book were carried out. Practitioners benefiting from the book will have the ability to use the automatic prediction methods included in the R program. It is a book for undergraduate, graduate and doctoral students in Statistics, Business Administration, Industrial Engineering, Data Science, Computer Engineering and Economics.