Econometrics \ 1-1
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
“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
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
This book is designed to cover the two-semester content of the general mathematics course taught in the Business Administration Departments of universities.
In the book, the basic subjects of calculus, linear algebra, probability and differential equations are tried to be dealt with in an intuitive approach by associating them with reality as much as possible, in order to prepare the ground for the students of business administration to solve the problems they will encounter in the real world by using the concepts and symbolism of mathematics.
At the end of each chapter, a sufficient number of examples are discussed to reinforce the subject, and the solutions of many of them are also included.
In the book, the basic subjects of calculus, linear algebra, probability and differential equations are tried to be dealt with in an intuitive approach by associating them with reality as much as possible, in order to prepare the ground for the students of business administration to solve the problems they will encounter in the real world by using the concepts and symbolism of mathematics.
At the end of each chapter, a sufficient number of examples are discussed to reinforce the subject, and the solutions of many of them are also included.
This book, which is the first of two volumes prepared for the general mathematics courses taught in the Business Administration and Economics Departments of our universities, has plenty of questions with solutions at the end of each section. The solution to each problem is explained broadly and clearly. Even if proofs of some theorems are not given while the subjects are being treated, it has been tried to geometrically imply why they are so. Most of the theorems and fundamental formulas have been proved.
There are enough examples in the book to explain the theorems and basic information. While introducing a new concept, the relation of this concept with previous concepts was established, and it was tried for our students to learn by understanding that information in the easiest way.
There are enough examples in the book to explain the theorems and basic information. While introducing a new concept, the relation of this concept with previous concepts was established, and it was tried for our students to learn by understanding that information in the easiest way.
This book, which is the second of two volumes prepared for the general mathematics courses taught in the Business Administration and Economics departments of our universities, has plenty of questions at the end of each section. The solution to each problem is explained broadly and clearly. Even if proofs of some theorems are not given while the subjects are being studied, it has been tried to intuit why this is the case. Some of the theorems and basic formulas have been proved.
There are enough examples in the book to explain the theorems and basic information. While introducing a new concept, the relation of this concept with previous concepts was established, and it was tried for our students to learn by understanding that information in the easiest way.
There are enough examples in the book to explain the theorems and basic information. While introducing a new concept, the relation of this concept with previous concepts was established, and it was tried for our students to learn by understanding that information in the easiest way.
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.
MATLAB brings speed and efficiency to scientific studies with the help of its ready-made functions and toolboxes. Multi-Criteria Decision Making Techniques (MCDM) are used to solve problems encountered in academic and practical life. In this study; 28 techniques (AHP, ARAS, BWM, CODAS, COPRAS, DEMATEL, EDAS, ELECTRE-I, ELECTRE-III, Entropy, EVAMIX, Gray Relational Analysis, KEMIRA-M, MABAC, MACBETH, MOORA, MOOSRA, OCRA, ORESTE, PROMETHEE, QUALIFLEX, RIM, SAW, SWARA, TODIM, TOPSIS, VIKOR and WASPAS) have been turned into functions in MATLAB software. In the book, the substructures of the techniques are explained; The codes prepared in the MATLAB software are included; calculation steps are illustrated; For each technique, sample applications were carried out with the data sets used in the studies published in the literature and exercises were prepared for the readers to solve. In addition, in the first part of the book, the features of MATLAB, which are frequently used while preparing the codes, are tried to be explained.
For every economics reader, theoretical as much as possible, experience and practical point of view gained within the framework of obtained observations are a necessity. The authors of the microeconomics book you have, especially in the preface and introduction, explain why their books are different from the current Turkish books taught in the field. In short, a method based on "learning by doing" and providing guidance to the students is followed in the book: The book contains a theoretical integrity that will respond to the demands of undergraduate and graduate students. Topics that complement each other are primarily explained with geometric figures; When necessary, the proof mechanism is given importance with the help of algebra. Solved problems in the content, reading passages, sometimes case studies and chapter suffixes that are compatible with the integrity of the subject are at a level that will meet the expectations of both instructors and students who want to be economics readers. As it is known, the more the theories of microeconomics are internalized, the more successful the entrance exams for the profession. The welfare contribution provided by the success of being a good economics reader is always felt.
While working at Nişantaşı University, Professor Recep KÖK, one of the authors of this textbook, is still working at Dokuz Eylül University (2019), Assoc. Oğuz KARA (Duzce University), Assoc. Dr. Üzeyir AYDIN (Dokuz Eylül University), Dr. Lecturer A. Elif AY YALÇINKAYA (Dokuz Eylül University) has revived the “team spirit” again: Authors have published many books, articles, etc. related to the field. It can be said that KÖK's professional experience of more than forty years is the main factor in bringing this work, which is a reputation of common will and effort, to the publication life. With the contribution of our publishing house, we hope that this privileged book, which has been included in the list of Turkish textbooks published in Turkey, will provide significant support to the teaching of economics! Of course, its readers' evaluations and appreciation of the book are beyond any value.
While working at Nişantaşı University, Professor Recep KÖK, one of the authors of this textbook, is still working at Dokuz Eylül University (2019), Assoc. Oğuz KARA (Duzce University), Assoc. Dr. Üzeyir AYDIN (Dokuz Eylül University), Dr. Lecturer A. Elif AY YALÇINKAYA (Dokuz Eylül University) has revived the “team spirit” again: Authors have published many books, articles, etc. related to the field. It can be said that KÖK's professional experience of more than forty years is the main factor in bringing this work, which is a reputation of common will and effort, to the publication life. With the contribution of our publishing house, we hope that this privileged book, which has been included in the list of Turkish textbooks published in Turkey, will provide significant support to the teaching of economics! Of course, its readers' evaluations and appreciation of the book are beyond any value.
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.
Have technical knowledge and expertise in their field; The purpose of the engineer as a technical staff who produces goods and services in the enterprise by using people, machinery, equipment, materials, equipment and processes; To achieve maximum production by using inputs such as materials, resources, time and technology.
As long as limited and costly resources cannot be used optimally and the highest possible values cannot be produced, a firm will fail in the market against its competitors and perhaps have to withdraw from the market. In order for the resources to be used optimally, the company must have an important technology, make its technological development a continuous process and be ahead of its competitors in technology. Every decision regarding the use of resources in the firm has an economic aspect. Resources must be used productively, that is, efficiently, and must provide maximum returns. For this reason, the engineer has to take all measures and apply the necessary methods for the efficient use of resources besides the management and in his field. The economic decisions taken may be short-term and long-term, and the expenditures will be short-term and long-term. If the economic decisions are short-term, that is, they cover a year, they are income expenditures, and if they cover more than one year, they are investment expenditures.
Engineer; How will it make income expenditures and investment expenditures, and how will it save on these expenditures? These are the subjects of engineering economics. Efficient use of resources, preparation of projects, making investments, executing the project and putting it into operation and similar processes continue throughout the life of the company and the engineer takes his place at every stage of the project. In this respect, it is very important to equip an engineer with knowledge of "Engineering Economics" and to act rationally. This work aims to give you this information.
As long as limited and costly resources cannot be used optimally and the highest possible values cannot be produced, a firm will fail in the market against its competitors and perhaps have to withdraw from the market. In order for the resources to be used optimally, the company must have an important technology, make its technological development a continuous process and be ahead of its competitors in technology. Every decision regarding the use of resources in the firm has an economic aspect. Resources must be used productively, that is, efficiently, and must provide maximum returns. For this reason, the engineer has to take all measures and apply the necessary methods for the efficient use of resources besides the management and in his field. The economic decisions taken may be short-term and long-term, and the expenditures will be short-term and long-term. If the economic decisions are short-term, that is, they cover a year, they are income expenditures, and if they cover more than one year, they are investment expenditures.
Engineer; How will it make income expenditures and investment expenditures, and how will it save on these expenditures? These are the subjects of engineering economics. Efficient use of resources, preparation of projects, making investments, executing the project and putting it into operation and similar processes continue throughout the life of the company and the engineer takes his place at every stage of the project. In this respect, it is very important to equip an engineer with knowledge of "Engineering Economics" and to act rationally. This work aims to give you this information.
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.
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.
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
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
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.
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.
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.
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.
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.
You can access the datasets (dta) and command (do files) files of the chapters in the book from the link below.
https://www.nobelyayin.com/presentations/applied_mikroekonometri_Data_ve_Do_dosyalari/applied_microekonometri_Data_ve_Do_dosyalari.zip
Microeconometric methods; It is developing rapidly due to the widespread collection of cross-section and panel data sets in many areas, the econometric methods becoming a part of standard software package programs, and the development of new software that enables easy programming of these methods.
The book Microeconometrics with Applications is a very comprehensive book, published in Turkish, that brings together almost all current issues of microeconometrics with its 18 main chapters. In the book, the theory of microeconometric methods is explained firstly, briefly, intuitively and based on practice, then it is tried to be easily understood through practice by making applications in Stata with real data sets. Researchers and students who benefit from the book will be able to access the data set and program files (do files) used in each chapter with the QR code given at the end of the preface, and will be able to do all the applications in the book.
Microeconometrics with applications book econometrics, economics, business, psychology, health, education, etc. It is a resource book that researchers and students in all social sciences can benefit from both in their research and in their undergraduate and graduate courses.
https://www.nobelyayin.com/presentations/applied_mikroekonometri_Data_ve_Do_dosyalari/applied_microekonometri_Data_ve_Do_dosyalari.zip
Microeconometric methods; It is developing rapidly due to the widespread collection of cross-section and panel data sets in many areas, the econometric methods becoming a part of standard software package programs, and the development of new software that enables easy programming of these methods.
The book Microeconometrics with Applications is a very comprehensive book, published in Turkish, that brings together almost all current issues of microeconometrics with its 18 main chapters. In the book, the theory of microeconometric methods is explained firstly, briefly, intuitively and based on practice, then it is tried to be easily understood through practice by making applications in Stata with real data sets. Researchers and students who benefit from the book will be able to access the data set and program files (do files) used in each chapter with the QR code given at the end of the preface, and will be able to do all the applications in the book.
Microeconometrics with applications book econometrics, economics, business, psychology, health, education, etc. It is a resource book that researchers and students in all social sciences can benefit from both in their research and in their undergraduate and graduate courses.
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.
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.
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.
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.