Applied regression analysis / Norman R. Draper, Harry Smith.
An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concept...
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| Online Access: |
Full Text (via Wiley) |
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| Main Author: | |
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York :
Wiley,
©1998.
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| Edition: | 3rd ed. |
| Series: | Wiley series in probability and statistics. Texts and references section.
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| Subjects: |
MARC
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| 100 | 1 | |a Draper, Norman Richard. | |
| 245 | 1 | 0 | |a Applied regression analysis / |c Norman R. Draper, Harry Smith. |
| 250 | |a 3rd ed. | ||
| 260 | |a New York : |b Wiley, |c ©1998. | ||
| 300 | |a 1 online resource (xvii, 706 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Wiley series in probability and statistics. Texts and references section | |
| 504 | |a Includes bibliographical references and indexes. | ||
| 505 | 0 | |a 0. Basic Prerequisite Knowledge -- 1. Fitting a Straight Line by Least Squares -- 2. Checking the Straight Line Fit -- 3. Fitting Straight Lines: Special Topics -- 4. Regression in Matrix Terms: Straight Line Case -- 5. The General Regression Situation -- 6. Extra Sums of Squares and Tests for Several Parameters Being Zero -- 7. Serial Correlation in the Residuals and the Durbin-Watson Test -- 8. More on Checking Fitted Models -- 9. Multiple Regression: Special Topics -- 10. Bias in Regression Estimates, and Expected Values of Mean Squares and Sums of Squares -- 11. On Worthwhile Regressions, Big F's, and R[superscript 2] -- 12. Models Containing Functions of the Predictors, Including Polynomial Models -- 13. Transformation of the Response Variable -- 14. "Dummy" Variables -- 15. Selecting the "Best" Regression Equation -- 16. Ill-Conditioning in Regression Data -- 17. Ridge Regression -- 18. Generalized Linear Models (GLIM) -- 19. Mixture Ingredients as Predictor Variables -- 20. The Geometry of Least Squares -- 21. More Geometry of Least Squares -- 22. Orthogonal Polynomials and Summary Data -- 23. Multiple Regression Applied to Analysis of Variance Problems -- 24. An Introduction to Nonlinear Estimation -- 25. Robust Regression -- 26. Resampling Procedures (Bootstrapping). | |
| 588 | 0 | |a Print version record. | |
| 520 | |a An outstanding introduction to the fundamentals of regression analysis-updated and expanded The methods of regression analysis are the most widely used statistical tools for discovering the relationships among variables. This classic text, with its emphasis on clear, thorough presentation of concepts and applications, offers a complete, easily accessible introduction to the fundamentals of regression analysis. Assuming only a basic knowledge of elementary statistics, Applied Regression Analysis, Third Edition focuses on the fitting and checking of both linear and nonlinear regression models, u. | ||
| 546 | |a English. | ||
| 650 | 0 | |a Regression analysis. | |
| 650 | 7 | |a Regression analysis |2 fast | |
| 700 | 1 | |a Smith, Harry, |d 1923-2012. | |
| 758 | |i has work: |a Applied regression analysis (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGfHVDdvpyDFQCGrTMF4mb |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Draper, Norman Richard. |t Applied regression analysis. |b 3rd ed. |d New York : Wiley, ©1998 |z 0471170828 |w (DLC) 97017969 |w (OCoLC)37141097 |
| 830 | 0 | |a Wiley series in probability and statistics. |p Texts and references section. | |
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