Main Title |
Applied linear statistical models / |
Author |
Neter, John.
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Other Authors |
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Publisher |
Irwin, |
Year Published |
1996 |
OCLC Number |
36222556 |
ISBN |
9780256117363; 0256117365 |
Subjects |
Regression analysis ;
Analysis of variance ;
Experimental design ;
Linear models (Statistics)
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
EKCM |
QA278.2.A66 1996 |
|
CEMM/GEMMD Library/Gulf Breeze,FL |
01/27/2022 |
EMBM |
QA278.2.A66 1996 |
|
NRMRL/GWERD Library/Ada,OK |
04/23/1999 |
|
Edition |
4th ed. |
Collation |
xv, 1408 pages : illustrations ; 27 cm + 1 computer disc (3 1/2 in.). |
Notes |
Includes bibliographical references (pages 1391-1399) and index. |
Contents Notes |
1. Linear Regression with One Predictor 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 -- 16. Single-Factor ANOVA Model and Tests -- 17. Analysis of Factor Level Effects -- 18. ANOVA Diagnostics and Remedial Measures -- 19. Two-Factor Analysis of Variance -- Equal Sample Sizes. |