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

Skip to content

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced
Stock photo: cover may vary

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science) Hardback -

by Ronald Christensen

Add to wish list
  • New
  • Hardback
New

Description

Taylor & Francis Group , pp. 636 . Hardback. New.
Ask the seller a question Add to wish list
A$342.72
A$5.82 Delivery within USA
Standard delivery: 9 to 14 days
More delivery options
Ships from Cold Books (New York, United States)
The BIBLIO Guarantee

Details

  • Title Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)
  • Author Ronald Christensen
  • Binding Hardback
  • Edition 2 Revised
  • Condition New
  • Pages 636
  • Volumes 1
  • Language ENG
  • Publisher Taylor & Francis Group
  • Publication date pp. 636
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # 6373660307
  • ISBN 9781498730143 / 1498730140
  • Weight 2.89 lbs (1.31 kg)
  • Dimensions 10 x 7 x 1.38 in (25.40 x 17.78 x 3.51 cm)
  • Category Mathematics
  • Library of Congress subjects Mathematical statistics, Regression analysis
  • Library of Congress Catalogue Number 2016302032
  • Quantity available 4

About Cold Books New York, United States

Biblio member since 2012

Terms of Sale: 30 day return guarantee, with full refund including shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Cold Books

Reader reviews for Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

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

Analysis of Variance, Design, and Regression: Linear Modeling for Unbalanced Data, Second Edition presents linear structures for modeling data with an emphasis on how to incorporate specific ideas (hypotheses) about the structure of the data into a linear model for the data. The book carefully analyzes small data sets by using tools that are easily scaled to big data. The tools also apply to small relevant data sets that are extracted from big data.

New to the Second Edition

  • Reorganized to focus on unbalanced data
  • Reworked balanced analyses using methods for unbalanced data
  • Introductions to nonparametric and lasso regression
  • Introductions to general additive and generalized additive models
  • Examination of homologous factors
  • Unbalanced split plot analyses
  • Extensions to generalized linear models
  • R, Minitab(R), and SAS code on the author's website

The text can be used in a variety of courses, including a yearlong graduate course on regression and ANOVA or a data analysis course for upper-division statistics students and graduate students from other fields. It places a strong emphasis on interpreting the range of computer output encountered when dealing with unbalanced data.

About the author

Ronald Christensen is a professor of statistics in the Department of Mathematics and Statistics at the University of New Mexico. Dr. Christensen is a fellow of the American Statistical Association (ASA) and Institute of Mathematical Statistics. He is a past editor of The American Statistician and a past chair of the ASA's Section on Bayesian Statistical Science. His research interests include linear models, Bayesian inference, log-linear and logistic models, and statistical methods.

Please wait a moment while we load the requested page.

tracking-