Multivariate Statistics: Concepts, Models, and Applications
by David W. Stockburger
Publisher: Missouri State University 2001
Description:
The book is designed for a course in multivariate statistics for first year graduate or advanced undergraduates. It is neither a mathematical treatise nor a cookbook. Instead of complicated mathematical proofs the author have attempted to write a book about mathematical ideas.
Download or read it online for free here:
Read online
(online html)
Similar books
![Book cover: SPSS: Stats Practically Short and Simple](images/3948.jpg)
by Sidney Tyrrell - BookBoon
This textbook is for people who want to know how to use SPSS for analyzing data. The author has considerable experience of teaching many such people and assumes they know the basics of statistics but nothing about SPSS, or as it is now known, PASW.
(15293 views)
![Book cover: Stats without Tears](images/11677.jpg)
by Stan Brown - BrownMath.com
This book is an alternative to the usual textbooks for a one-semester course in statistics. The author tried to make statistics approachable to anyone with high-school math, but it's still a technical subject. There is very little use of formulas.
(7407 views)
![Book cover: Learning Statistics with R](images/8688.jpg)
by Daniel Navarro - University of Adelaide
This is an introductory statistics textbook pitched primarily at psychology students. It covers the standard topics of such a book: study design, descriptive statistics, the theory of hypothesis testing, t-tests, X2 tests, ANOVA and regression.
(16392 views)
![Book cover: Causal Inference](images/10235.jpg)
by Miguel A. Hernan, James M. Robins - Chapman & Hall/CRC
The book provides a cohesive presentation of concepts of, and methods for, causal inference. It will be of interest to anyone interested in causal inference, e.g., epidemiologists, statisticians, psychologists, economists, sociologists, and others.
(10684 views)