What are the best books for multivariate statistics?

What are the best books for multivariate statistics?

Best five books for multivariate statistics by expert authors in field.

  1. Using Multivariate Statistics by Pearson
  2. Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM’s SPSS, Sixth Edition by Routledge
  3. Using R With Multivariate Statistics by Randall E. Schumacker
  4. Analysis of Multivariate Social Science Data, Second Edition by David J. Bartholomew (Author), Fiona Steele (Author), Jane Galbraith (Author)
  5. A Primer of Multivariate Statistics by Richard J. Harris  

What are the best books for multivariate statistics?

Using Multivariate Statistics by Pearson

Using Multivariate Statistics, provides advanced undergraduate as well as graduate students with a timely and comprehensive introduction to today’s most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics.

This text’s practical approach focuses on the benefits and limitations of applications of a technique to a data set – when, why and how to do it. Up on completing this book, readers should be able to:

  • Learn to conduct numerous types of multivariate statistical analyses
  • Find the best technique to use
  • Understand Limitations to applications
  • Learn how to use SPSS and SAS syntax and output

Read it Now!!!

 


Applied Multivariate Statistics for the Social Sciences: Analyses with SAS and IBM’s SPSS, Sixth Edition by Routledge

The authoritative textbook Applied Multivariate Statistics for the Social Sciences, continues to provide advanced students with a practical and conceptual understanding of statistical procedures through examples and data-sets from actual research studies.


With the added expertise of co-author Keenan Pituch (University of Texas-Austin), this 6th edition retains many key features of the previous editions, including its breadth and depth of coverage, a review chapter on matrix algebra, applied coverage of MANOVA, and emphasis on statistical power. In this new edition, the authors continue to provide practical guidelines for checking the data, assessing assumptions, interpreting, and reporting the results to help students analyze data from their own research confidently and professionally.

Read it Now!!!

 


What are the best books for multivariate statistics? cont..

Using R With Multivariate Statistics by Randall E. Schumacker  

This book helps students and researchers in the social and behavioural sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included.


In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.

 

Read it Now!!!

 


Analysis of Multivariate Social Science Data, Second Edition by David J. Bartholomew (Author), Fiona Steele (Author), Jane Galbraith (Author)

Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research.

Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions.

Read it Now!!!

 


A Primer of Multivariate Statistics by Richard J. Harris

Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why.

This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one’s interpretations of the emergent variables that are produced by multivariate analysis.

This edition retains its conversational writing style while focusing on classical techniques.

Read it Now!!!


What are the best books for multivariate statistics?

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.