1. Multivariate Analysis
| 1."The Statistical Analysis of Categorical Data" by E B Andersen
“The Statistical Analysis of Categorical Data” Book Review: The focus of this book is on statistical models for categorical data. Specifically, the book excludes models that mix continuous and categorical data and instead focuses solely on models for categorical data. Additionally, the book covers fundamental properties and the parametric multinomial distribution of exponential families. This book is recommended for graduate courses that cover categorical data analysis.
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| 2."Categorical Data Analysis" by A Agresti
“Categorical Data Analysis” Book Review: In this book, the most up-to-date techniques for both univariate and correlated categorical multivariate responses are discussed. The book presents a comprehensive approach to generalized linear models that links logistic regression and Poisson. This book will prove useful to statisticians and methodologists seeking to deepen their understanding of these advanced methods.
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| 3."The Statistical Analysis of Discrete Data" by T J Santner and D Duffy
“The Statistical Analysis of Discrete Data” Book Review: The purpose of this book is to introduce statistical currency methods that can be applied to the analysis of discrete response outcomes. The book covers topics such as linear algebra and advanced elementary calculus, and each chapter concludes with a set of problems for readers to solve. As such, this book is an ideal resource for graduate students seeking to gain a deeper understanding of statistical methods for discrete data analysis, as well as for researchers who need a comprehensive reference on the topic.
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| 4."Regression Analysis - Theory, Methods and Applications" by A Sen and M Srivastava | |
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| 5."Multivariate Data Analysis" by Hair
“Multivariate Data Analysis” Book Review: This book serves as a valuable resource for students seeking to deepen their understanding of multivariate data analysis. It provides an application-oriented introduction to the subject that is accessible even to non-statisticians. The book covers the outcomes of various statistical methods and explains both structural equations and mathematical methods. As a result, it is a useful tool for both students and methodologists who need to interpret the results of specific statistical techniques. In addition, the book covers recent advancements in technology and mathematical techniques and includes a thorough discussion of structural equations modeling.
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| 6."An Introduction to Multivariate Statistical Analysis" by T W Anderson
“An Introduction to Multivariate Statistical Analysis” Book review: The purpose of this book is to offer a practical, application-oriented introduction to multivariate analysis that is accessible even to those without a background in statistics. The book covers the outcomes of various statistical methods, and it explains both structural equations and mathematical methods in detail. As such, it is a useful resource for both students and methodologists seeking to deepen their understanding of multivariate analysis.
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| 7."Applied Multivariate Statistical Analysi" by Johnson/Wichern | |
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| 8."Multivariate Analysis and Its Applications" by Kartick Chandra Bhuyan | |
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| 9."Multivariate Analysis (Probability and Mathematical Statistics)" by Kanti V Mardia and J T Kent
“Multivariate Analysis (Probability and Mathematical Statistics)” Book Review: This book focuses on the analysis of multiple variables that exhibit intrinsic interdependence. The book is divided into two sections that cover both theoretical and data analytic aspects of the subject. As such, it is an excellent resource for graduate students seeking to deepen their understanding of this area of study, as well as for researchers who need a comprehensive reference on the topic.
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| 10."Multivariate Data Analysis" by Joseph F Hair and Barry Babin Bill Black | |
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2. Advance Multivariate Analysis
| 1."Advances in Multivariate Statistical Analysis: Pillai Memorial Volume (Theory and Decision Library B)" by Arjun K Gupta
“Advances in Multivariate Statistical Analysis: Pillai Memorial Volume (Theory and Decision Library B)” Book Review: The book is is a collection of papers that pay tribute to the renowned statistician, K. C. S. Pillai. The book covers a wide range of topics in multivariate statistical analysis, including regression analysis, discriminant analysis, and factor analysis. The chapters provide a comprehensive overview of recent advances in multivariate statistical analysis and their applications in various fields. The book will be of interest to researchers, students, and practitioners of statistics and related fields.
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| 2."Advances in Multivariate Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis" by Hans-Hermann Bock and Marcello Chiodi
“Advances in Multivariate Data Analysis: Proceedings of the Meeting of the Classification and Data Analysis” Book Review: The book provides both theoretical and practical perspectives on multivariate data analysis for researchers in various fields. It covers the use of multivariate methods in disciplines such as economics, medicine, environmental science, and biology, making it a valuable resource for anyone seeking to apply these techniques in their research.
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| 3."Recent Advances in Descriptive Multivariate Analysis (Royal Statistical Society Series)" by Wojtek J Krzanowski | |
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| 4."Multilevel Modeling: Methodological Advances, Issues, and Applications (Multivariate Applications Series)" by Steven P. Reise and Naihua Duan
“Multilevel Modeling: Methodological Advances, Issues, and Applications (Multivariate Applications Series)” Book Review: This book is a comprehensive guide to multilevel modeling. The book is divided into 14 chapters, covering topics such as model building, estimation, and interpretation of results. The authors provide practical guidance on how to use multilevel modeling in various fields, including psychology, education, and public health. The book also includes examples and case studies to illustrate the concepts and techniques discussed. This book is a valuable resource for anyone interested in multilevel modeling and its applications.
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| 5."Advances in Multivariate Statistical Methods (Statistical Science and Interdisciplinary Research)" by Sengupta Ashis
“Advances in Multivariate Statistical Methods (Statistical Science and Interdisciplinary Research)” Book Review: The book provides valuable insights for researchers, professionals, and students interested in multivariate statistical methods. It covers various research topics in this field and includes real-world applications such as bioinformatics, categorical data and clinical trials, econometrics and sample survey, and statistical process control. Moreover, the book delves into more advanced techniques, including longitudinal data analysis and microarray data analysis, making it a comprehensive resource for anyone looking to expand their knowledge and skills in multivariate analysis.
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| 6."Advances in Statistical Monitoring of Complex Multivariate Processes" by Uwe Kruger and Lei Xie
“Advances in Statistical Monitoring of Complex Multivariate Processes” Book Review: This book is a valuable resource for students, researchers, and practitioners interested in statistics-based process monitoring in mechanical and manufacturing engineering. It covers the latest developments in the field, including detailed information on component technology and cross-disciplinary utilization in chemical, mechanical, and manufacturing engineering. The book provides industrial applications and features numerous examples and exercise questions, making it an ideal resource for anyone looking to enhance their knowledge and skills in this area.
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| 7."Multivariate Statistical Methods in Physical Anthropology: A Review of Recent Advances and Current Developments" by G N van Vark and W W Howells
“Multivariate Statistical Methods in Physical Anthropology: A Review of Recent Advances and Current Developments” Book Review: This book is an ideal textbook for mathematical statisticians, anthropologists, and human geneticists. It presents new methods of physical anthropology, as well as their applications. Moreover, the book thoroughly examines the advantages and disadvantages of using mathematical models and methods in physical anthropology. This book is a valuable resource for anyone looking to gain a deeper understanding of the intersection between mathematics and physical anthropology.
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| 8."Multivariate Bonferroni-Type Inequalities: Theory and Applications" by John Chen
“Multivariate Bonferroni-Type Inequalities: Theory and Applications” Book Review: The book covers the concepts, methods, and applications of probability inequalities, including the use of linear programming for multivariate and bivariate bounds and Hamilton circuits to explain the bounds. It also discusses the applications of multivariate Bonferroni-type inequalities and presents an optimization algorithm for bivariate and multivariate lower bounds. Additionally, the book explores the use of probability inequalities in molecular cancer therapy and big data analysis. It also presents vectorized high-dimensional lower bounds with refinements, including Hamilton-type circuits and sub-Markovian events.
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| 9."Applied Multivariate Statistical Analysi" by Johnson/Wichern | |
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