1/09/2012

Regression Analysis: Statistical Modeling of a Response Variable Review

Regression Analysis: Statistical Modeling of a Response Variable
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Freund & Wilson have taken a classical statistical procedure and breathed new life into it. Covering the basics at an understandable level, the text covers all current and traditional topic areas. From Multipe Regression to PCA regression with a tinge of Ridge Regression. Traditional trouble areas are adequately dealt with. The novice reader will have no trouble in getting up to speed and not have any of the formula hemmoraging normally associated with MRA. For you mathematicians take a break and go do a derivative elsewhere. A Dummies book for the rest of us. 5 stars and 6 bottles of beer for this one. Good job fellas!

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Regression Analysis provides students with the skills and techniques necessary for the intelligent statistical analysis of a response variable. The book underscores statistical concepts, de-emphasizes formulas, and incorporates real data from the most popular package at this level, SAS. Regression Analysis also covers other linear models such as analysis of variance, analysis of covariance, analysis of a binary response variable, as well as an introduction to nonlinear regression. * Discusses the analysis of data including estimation, diagnostics, and remedial actions* Includes examples and exercises which contain both real and simulated data* Emphasizes computer implementation and methods* Provides many references for related and more advanced methods* Supported by instructor's manual containing data sets on disk

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