Applied Statistics: Analysis of Variance and Regression / Edition 2

Applied Statistics: Analysis of Variance and Regression / Edition 2

by Olive Jean Dunn, Virginia A. Clark
     
 

ISBN-10: 0471812692

ISBN-13: 9780471812692

Pub. Date: 05/28/1987

Publisher: Wiley

A self-contained, comprehensive treatment of variance and regression analysis suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts

Overview

A self-contained, comprehensive treatment of variance and regression analysis suitable for students and researchers who may not have a calculus background. Models, tests, assumptions and confidence intervals allow readers to locate the material, know when to do the analysis, and correctly interpret results. New information in this edition, not found in other texts at this level, includes discussions of widely used computer program to perform the analysis, and a new chapter on repeated measures designs.

Product Details

ISBN-13:
9780471812692
Publisher:
Wiley
Publication date:
05/28/1987
Series:
Wiley Series in Probability and Statistics Series, #180
Edition description:
Older Edition
Pages:
464
Product dimensions:
6.46(w) x 9.33(h) x 1.02(d)

Related Subjects

Table of Contents

Descriptive Statistics.

Statistical Inference: Populations and Samples.

Inference from a Single Sample.

Samples from Two Populations.

One-Way Analysis of Variance: Fixed Effects Model.

Hierarchical or Nested Design.

Two-Way Analysis of Variance: Fixed Effects Model.

Three-Way Analysis of Variance: Fixed Effects Model.

Factorial Designs with Each Factor at Two Levels.

Variable Effects Models.

Repeated Measure Designs.

Linear Regression and Correlation.

Multiple Regression: The Fixed X Model.

Multiple Regression and Correlation Analysis.

Analysis of Covariance.

Data Screening.

Appendix.

Index.

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >