Solutions Manual to Accompany Introduction to Linear Regression Analysis, Fifth Edition
- 46m
- Douglas C. Montgomery, Elizabeth A. Peck, G. Geoffrey Vining
- John Wiley & Sons (US)
- 2013
As the Solutions Manual, this book is meant to accompany the main title, Introduction to Linear Regression Analysis, Fifth Edition. 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.
In this Book
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Simple Linear Regression
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Multiple Linear Regression
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Model Adequacy Checking
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Transformations and Weighting to Correct Model Inadequacies
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Diagnostics for Leverage and Influence
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Polynomial Regression Models
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Indicator Variables
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Multicollinearity
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Variable Selection and Model Building
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Validation of Regression Models
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Introduction to Nonlinear Regression
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Generalized Linear Models
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Regression Analysis of Time Series Data
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Other Topics in the Use of Regression Analysis
