تحلیل داده‌های اکتشافی و چندمتغیره (مدل‌سازی آماری و علم تصمیم‌گیری)

With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques. Key Features * Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones * Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples * Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques Content: Front Matter , Page iii Copyright , Page iv Dedication , Page v Preface , Pages xi-xiii Chapter 1 - General Presentation , Pages 1-17 Chapter 2 - Statistical Data Elaboration , Pages 19-25 Chapter 3 - 1-D Statistical Data Analysis , Pages 27-62 Chapter 4 - 2-D Statistical Data Analysis , Pages 63-94 Chapter 5 - N -D Statistical Data Analysis , Pages 95-112 Chapter 6 - Factor Analysis of Individuals–Variables Data Sets , Pages 113-124 Chapter 7 - Principal Components Analysis , Pages 125-167 Chapter 8 - 2-D Correspondence Analysis , Pages 169-239 Chapter 9 - N -D Correspondence Analysis , Pages 241-303 Chapter 10 - Classification of Individuals–Variables Data Sets , Pages 305-405 Chapter 11 - Classification and Analysis of Proximities Data Sets , Pages 407-418 Chapter 12 - Computer Aspects of Exploratory and Multivariate Data Analysis , Pages 419-426 Appendix 1 - List of Notations , Pages 427-437 Appendix 2 - Reference Data Sets , Pages 439-464 References , Pages 465-468 Author Index , Pages 469-470 Subject Index , Pages 471-474 With a useful index of notations at the beginning, this book explains and illustrates the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. This book is well illustrated and is a useful and well-documented review of the most important data analysis techniques.

Key Features
* Describes, in detail, exploratory data analysis techniques from the univariate to the multivariate ones
* Features a complete description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques, illustrated with concrete and understandable examples
* Includes a modern and up-to-date description of clustering algorithms with many properties which gives a new role of clustering in data analysis techniques With an index of notations at the beginning, this book explains the theory and application of data analysis methods from univariate to multidimensional and how to learn and use them efficiently. It also features a description of correspondence analysis and factor analysis techniques as multidimensional statistical data analysis techniques.