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Introduction to Linear Regression Analysis

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Introduction to Linear Regression Analysis by Montgomery, Douglas C.; Peck, Elizabeth A.; Vining, G. Geoffrey, 9780470542811
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  • ISBN: 9780470542811 | 0470542810
  • Cover: Hardcover
  • Copyright: 4/9/2012
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Clearly balancing theory with applications, this book describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. Beginning with a general introduction to regression modeling, including typical applications, the book then outlines a host of technical tools that form the linear regression analytical arsenal, including: basic inference procedures and introductory aspects of model adequacy checking; how transformations and weighted least squares can be used to resolve problems of model inadequacy; how to deal with influential observations; and polynomial regression models and their variations. The book also includes material on regression models with autocorrelated errors, bootstrapping regression estimates, classification and regression trees, and regression model validation.

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