Research Catalog

Title

Applied linear statistical models / John Neter ... [et al.].

Publication

Chicago : Irwin, c1996.

Items in the Library & Off-site

Details

Additional Authors

Neter, John

Description

xv, 720 p. : ill.; 27 cm. +

Subject

• Regression analysis
• Analysis of variance
• Experimental design
• Linear models (Statistics)
• Models, Statistical
• Regression Analysis
• Research Design
• Linear Models
• Analysis of Variance

Bibliography (note)

• Includes bibliographical references and index.

System Details (note)

• System requirements for accompanying computer disk: IBM PC or 100% compatible; 640K RAM; DOS 3.1 or higher; any ASCII text editor.

Contents

1. Linear Regression with One Independent Variable -- 2. Inferences in Regression Analysis -- 3. Diagnostics and Remedial Measures -- 4. Simultaneous Inferences and Other Topics in Regression Analysis -- 5. Matrix Approach to Simple Linear Regression Analysis -- 6. Multiple Regression -- I -- 7. Multiple Regression -- II -- 8. Building the Regression Model I: Selection of Predictor Variables -- 9. Building the Regression Model II: Diagnostics -- 10. Building the Regression Model III: Remedial Measures and Validation -- 11. Qualitative Predictor Variables -- 12. Autocorrelation in Time Series Data -- 13. Introduction to Nonlinear Regression -- 14. Logistic Regression, Poisson Regression, and Generalized Linear Models -- 15. Normal Correlation Models -- Appendix. A Some Basic Results in Probability and Statistics -- Appendix B Tables -- Appendix C Data Sets -- Appendix D Selected Bibliography -- Index.

ISBN

0256117365

LCCN

^^^95037447^

OCLC

• 988779546
• SCSB-10654915

Owning Institutions

Harvard Library