Logo

Multivariate Statistics: Concepts, Models, and Applications

Small book cover: Multivariate Statistics: Concepts, Models, and Applications

Multivariate Statistics: Concepts, Models, and Applications
by

Publisher: Missouri State University

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.

Home page url

Download or read it online for free here:
Read online
(online html)

Similar books

Book cover: SPSS: Stats Practically Short and SimpleSPSS: Stats Practically Short and Simple
by - 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.
(17486 views)
Book cover: Dynamic Programming and Bayesian Inference: Concepts and ApplicationsDynamic Programming and Bayesian Inference: Concepts and Applications
by - InTech
Dynamic programming and Bayesian inference have been both intensively and extensively developed during recent years. The purpose of this volume is to provide some applications of Bayesian optimization and dynamic programming.
(10249 views)
Book cover: Statistical Inference for EveryoneStatistical Inference for Everyone
by - 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.
(9908 views)
Book cover: Everything you wanted to know about Data Analysis and FittingEverything you wanted to know about Data Analysis and Fitting
by - arXiv
These notes discuss, in a style intended for physicists, how to average data and fit it to some functional form. I try to make clear what is being calculated, what assumptions are being made, and to give a derivation of results.
(11298 views)