Multivariate Analysis Books

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We have compiled the list of Best Reference Books on Multivariate Analysis subject. These books are used by students of top universities, institutes and colleges. Here is the full list of best books on Multivariate Analysis along with reviews.

Kindly note that we have put a lot of effort into researching the best books on Multivariate Analysis subject and came out with a recommended list of best books. The table below contains the Name of these best books, their authors, publishers and an unbiased review of books on “Multivariate Analysis” as well as links to the Amazon website to directly purchase these books. As an Amazon Associate, we earn from qualifying purchases, but this does not impact our reviews, comparisons, and listing of these top books; the table serves as a ready reckoner list of these best books.

List of Multivariate Analysis Books with author’s names, publishers, and an unbiased review as well as links to the Amazon website to directly purchase these books.

1. Multivariate Analysis

1. “The Statistical Analysis of Categorical Data” by E B Andersen

“The Statistical Analysis of Categorical Data” Book Review: This book discusses the statistical models for categorical data. Models for categorical data are protected. Accordingly, separate models for mixed continuous and categorical data are excluded. The book also discusses the basic properties and parametric multinomial distribution of exponential families. This book will be useful for graduate courses in categorical data analysis.

2. “Categorical Data Analysis” by A Agresti

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“Categorical Data Analysis” Book Review: This book discusses the latest methods for univariate and correlated categorical multivariate responses. It includes an unified approach to generalized linear models linking logistic regression and Poisson. The book also discusses negative binomial loglinear models with natural regression for continuous data for discrete data. This book will be beneficial for statisticians and methodologists.

3. “The Statistical Analysis of Discrete Data” by T J Santner and D Duffy

“The Statistical Analysis of Discrete Data” Book Review: This book provides an introduction to statistical currency methods for the study of discrete response results. It includes linear algebra and advanced elementary calculus. At the end of each chapter, the book presents problems. This book will be useful for graduate students and as a reference for researchers who analyze discrete data.

4. “Regression Analysis – Theory, Methods and Applications” by A Sen and M Srivastava
5. “Multivariate Data Analysis” by Hair

“Multivariate Data Analysis” Book Review: This book is useful for students to understand multivariate data analysis. This book provides a non-statistician with an application-oriented introduction to multivariate analysis. The outcomes of various statistical methods are included. Structural equations and mathematical methods are explained in the book. This book will be beneficial for students and methodologies. It helps the readers in understanding and using the results of specific statistical techniques. The book describes developments in technology, capability and mathematical techniques. The book discusses structural equations modeling.
6. “An Introduction to Multivariate Statistical Analysis” by T W Anderson

“An Introduction to Multivariate Statistical Analysis” Book review: This book provides a non-statistician with an application-oriented introduction to multivariate analysis. The outcomes of various statistical methods are included. Structural equations and mathematical methods are explained in the book. This book will be beneficial for students and methodologists.

7. “Applied Multivariate Statistical Analysi” by Johnson/Wichern
8. “Multivariate Analysis and Its Applications” by Kartick Chandra Bhuyan
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 provides an observation of more than one variable in which the variables have some intrinsic interdependence. It comprises two theoretical and data analytic groups. This book will be useful for graduate students and as a reference for researchers.

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 useful for researchers and for all those who are interested in knowing about multivariate statistical analysis. It gives information about various developments in the field of multivariate statistical analysis. The book shows the contribution of renowned scientist, professor K.C. Shreedharan Pillai in this field.

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 gives theoretical and practical approach towards researches in the field of multivariate data analysis. It explains the use of multivariate methods in economics, medicine, environment and biology.

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3. “Recent Advances in Descriptive Multivariate Analysis (Royal Statistical Society Series)” by Wojtek J Krzanowski
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 valuable for graduate students and researchers, who are involved in multilevel modeling (MLM). The book gives developments in the field of MLM. It explains the difficulties of using MLM in power, experimental design and model violations. The book describes growth modeling, repeated measures analysis, nonlinear modeling, outlier detection and meta analysis.

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 is helpful for researchers, professionals and students. It discusses various researches in multivariate statistical methods. The book also contains applications of these methods. It includes bioinformatics, categorical data and clinical trials, econometrics and sample survey and statistical process control. The book presents longitudinal data analysis and microarray data analysis.

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: The book is beneficial for students, researchers and practitioners. The book gives developments in statistics based process monitoring in mechanical and manufacturing engineering. It describes the details about component technology. The book discusses cross-disciplinary utilisation in chemical, mechanical and manufacturing engineering. It also presents industrial applications. The book consists of various examples and exercise questions.

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: The book will be a suitable text for mathematical statisticians, anthropologists and human geneticists. The book consists of new methods of physical anthropology. It also gives the applications of physical anthropology. The book describes uses and disadvantages of mathematical models and methods in physical anthropology.

8. “Multivariate Bonferroni-Type Inequalities: Theory and Applications” by John Chen

“Multivariate Bonferroni-Type Inequalities: Theory and Applications” Book Review: This book discusses the concepts, methods and applications of probability inequalities. The book describes the method of linear programming for multivariate bounds and for bivariate upper and lower bounds. It explains the bounds using hamilton circuits. The book discusses the applications of multivariate Bonferroni-type inequalities. The book gives an optimization algorithm for bivariate and multivariate lower bounds. It gives applications of probability inequalities in molecular cancer therapy and big data analysis. The book presents vectorized high-dimensional lower bounds with refinements, such as Hamilton-type circuits and sub-Markovin events.

9. “Applied Multivariate Statistical Analysi” by Johnson/Wichern

People who are searching for Free downloads of books and free pdf copies of these books on Multivariate Analysis – we would like to mention that we don’t have free downloadable pdf copies of these good books and one should look for free pdf copies from these Authors only if they have explicitly made it free to download and read them.

We have created a collection of best reference books on “Multivariate Analysis” so that one can readily see the list of top books on “Multivariate Analysis” and buy the books either online or offline.

If any more book needs to be added to the list of best books on Multivariate Analysis subject, please let us know.

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