**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

**Statistical Inference for Everyone**

by

**Brian S Blais**-

**Save The Broccoli Publishing**

This is a new approach to an introductory statistical inference textbook, motivated by probability theory as logic. It is targeted to the typical Statistics 101 college student, and covers the topics typically covered in the first semester.

(

**2761**views)

**Linear Regression Using R: An Introduction to Data Modeling**

by

**David R. Lilja**-

**University of Minnesota**

The book presents one of the fundamental data modeling techniques in an informal tutorial style. Learn how to predict system outputs from measured data using a detailed step-by-step process to develop, train, and test reliable regression models.

(

**1362**views)

**Quick Notes - Statistics**

by

**Walter Antoniotti**-

**21st Century Learning Products**

Walter Antoniotti's book is for people with a limited mathematics background who want to learn the material covered in a traditional college statistics course and for people who want to learn statistics to enhance their career.

(

**2095**views)

**Principles of Uncertainty**

by

**Joseph B. Kadane**-

**Chapman and Hall/CRC**

An accessible, comprehensive guide to the theory of Bayesian statistics, this book presents the subjective Bayesian approach, which has played a pivotal role in game theory, economics, and the recent boom in Markov Chain Monte Carlo methods.

(

**5435**views)