Applied linear regression

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Résumé : "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 facili…

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Title Statements

Full title :Applied linear regression / Sanford Weisberg.

Summary

Résumé : "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"--

Edition Statements

Publication Date:©2014.
Edition:4th ed

Publication Statements

Publisher(s):Wiley
Place of Publication:Hoboken, NJ
Language:eng
Publication Date:©2014.

The Physical Object

Description:xvii, 340 pages

Edition Identifiers

ISBN:9781118386088, 1118386086
oclc:on1008989636
LC Classification:QA278 .2 W426a 2014
Dewey Decimal:519.5/36

Scatterplots and regression -- Simple linear regression -- Multiple regression -- Interpretation of main effects -- Complex regressors -- Testing and analysis of variance -- Variances -- Transformations -- Regression diagnostics -- Variable selection -- Nonlinear regression -- Binomial and Poisson regression.