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Applied linear regression / Sanford Weisberg.

By: Material type: TextTextSeries: Wiley series in probability and statisticsPublication details: New Jersey : John Wiely, c2014.Edition: 4th edDescription: xvii, 340 p. : illustrations ; 24 cmISBN:
  • 9781118386088 (hardback)
Subject(s): DDC classification:
  • 000SA.064 23 W426
Contents:
1. Scatterpots and regression-- 2. Simple linear regression-- 3. Multiple regression-- 4. Interpretation of main effects-- 5. Complex regressors-- 6. Testing and analysis of variance-- 7. Variances-- 8. Transformations-- 9. Regression diagnostics-- 10. Variable selection-- 11. Nonlinear regression-- 12. Binomial and poisson regression-- Appendix-- References-- Author index-- Subject index.
Summary: "Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"--
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Holdings
Item type Current library Call number Status Date due Barcode Item holds
Books ISI Library, Kolkata 000SA.064 W426 (Browse shelf(Opens below)) Available 135816
Total holds: 0

Includes bibliographical references (pages 317-328) and index.

1. Scatterpots and regression--
2. Simple linear regression--
3. Multiple regression--
4. Interpretation of main effects--
5. Complex regressors--
6. Testing and analysis of variance--
7. Variances--
8. Transformations--
9. Regression diagnostics--
10. Variable selection--
11. Nonlinear regression--
12. Binomial and poisson regression--
Appendix--
References--
Author index--
Subject index.

"Providing a coherent set of basic methodology for applied linear regression without being encyclopedic, the fourth edition of Applied Linear Regression is thoroughly updated to help students master the theory and applications of linear regression modeling. Focusing on model building, assessing fit and reliability, and drawing conclusions, the text demonstrates how to develop estimation, confidence, and testing procedures primarily through the use of least squares regression. To facilitate quick learning, this updated edition stresses the use of graphical methods in an effort to find appropriate models and to better understand them"--

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