Regression Analysis Study Guide / Edition 2

Regression Analysis Study Guide / Edition 2

by Rudolf J. Freund, William J. Wilson, Ping Sa
     
 

ISBN-10: 0123725046

ISBN-13: 9780123725042

Pub. Date: 05/11/2006

Publisher: Elsevier Science

The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good

Overview

The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.

• Examples and exercises contain real data and graphical illustration for ease of interpretation
• Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major statistical software package will work equally well.
• Data sets are furnished on CD included in the text

Product Details

ISBN-13:
9780123725042
Publisher:
Elsevier Science
Publication date:
05/11/2006
Edition description:
Study Guide
Pages:
96
Product dimensions:
0.19(w) x 8.25(h) x 11.00(d)

Table of Contents

1. The Analysis of Means: A Review of Basics and an Introduction to Linear Models
2. Simple Linear Regression:Linear Regression with One Independent Variable
3. Multiple Regression
4. Problems with Observations
5. Multicollinearity
6. Problems with the Model
7. Curve Fitting
8. Introduction to Nonlinear Models
9. Indicator Variables
10. Categorical Response Variables
11. Generalized Linear Models Appendix A: Statistical Tables Appendix B: A Brief Introduction to Matrices Appendix C: Estimation Procedures References

Customer Reviews

Average Review:

Write a Review

and post it to your social network

     

Most Helpful Customer Reviews

See all customer reviews >