BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference

Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference

Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference Paperback / softback - 2005

by S. James Press

Add to wish list
  • New
  • Paperback
New

Description

Paperback / softback. New.
Ask the seller a question Add to wish list
A$55.98
A$19.13 Delivery to USA
Standard delivery: 14 to 21 days
More delivery options
Ships from The Saint Bookstore (Merseyside, United Kingdom)
Biblio Top Seller
The BIBLIO Guarantee

Details

  • Title Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference
  • Author S. James Press
  • Binding Paperback
  • Edition 2nd edition
  • Condition New
  • Pages 706
  • Volumes 1
  • Language ENG
  • Publisher Dover Publications
  • Publication date 2005-06-28
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index, Table of Contents
  • Bookseller's Inventory # A9780486442365
  • ISBN 9780486442365 / 0486442365
  • Weight 1.53 lbs (0.69 kg)
  • Dimensions 8.54 x 5.4 x 1.36 in (21.69 x 13.72 x 3.45 cm)
  • Category Mathematics
  • Library of Congress subjects Bayesian statistical decision theory, Multivariate analysis
  • Library of Congress Catalogue Number 2005043260
  • Dewey Decimal Code 519.535
  • Quantity available 10

About The Saint Bookstore Merseyside, United Kingdom

Specialising in: Academic & Scholarly, Hard To Find Titles, Textbooks
Biblio member since 2018

The Saint Bookstore specialises in hard to find titles & also offers delivery worldwide for reasonable rates.

Terms of Sale: Refunds or Returns: A full refund of the price paid will be given if returned within 30 days in undamaged condition. If the product is faulty, we may send a replacement.

Browse books from The Saint Bookstore

Reader reviews for Applied Multivariate Analysis: Using Bayesian and Frequentist Methods of Inference

Write a review for this book

There are no reviews for this book yet. Be the first to write a review!

Your review will be anonymous unless you login or create an account first.

Overall rating
Remember: You’re rating the book as a work, not the seller or the condition of the specific copy you purchased!

Important Terms and Guidelines

  • Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
  • Reviews must be at least 140 characters in length.
  • Please do not reveal critical plot elements.
  • This is not a help line. Contact customer support if you need help.
Your review must not include:
  • Obscenities, discriminatory language, or other insulting language not suitable for public domain
  • Advertisements, “spam” content, or references to other products, offers or websites.
  • Email addresses, URLs, phone numbers, physical addresses or other contact information.
  • Overly critical comments about other reviews or reviewers
  • Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
  • Availability, price, or alternative ordering/shipping information

From the publisher

Geared toward upper-level undergraduates and graduate students, this two-part treatment deals with the foundations of multivariate analysis as well as related models and applications. Starting with a look at practical elements of matrix theory, the text proceeds to discussions of continuous multivariate distributions, the normal distribution, and Bayesian inference; multivariate large sample distributions and approximations; the Wishart and other continuous multivariate distributions; and basic multivariate statistics in the normal distribution. The second half of the text moves from defining the basics to explaining models. Topics include regression and the analysis of variance; principal components; factor analysis and latent structure analysis; canonical correlations; stable portfolio analysis; classifications and discrimination models; control in the multivariate linear model; and structuring multivariate populations, with particular focus on multidimensional scaling and clustering. In addition to its value to professional statisticians, this volume may also prove helpful to teachers and researchers in those areas of behavioral and social sciences where multivariate statistics is heavily applied. This new edition features an appendix of answers to the exercises.

Please wait a moment while we load the requested page.

tracking-