Title Statements
- Full title :Applied linear regression models.
Edition Statements
- Publication Date:©2004.
- Edition:4th ed
Publication Statements
- Publisher(s):McGraw-Hill/Irwin
- Place of Publication:Boston
- Language:eng
- Publication Date:©2004.
The Physical Object
- Description:xvii, 701 pages : : illustrations ; : 24 cm +
Edition Identifiers
- ISBN:0072386916, 9780072386912, 9780073014661, 0073014664, 9780073013442, 0073013447, 0071232524, 9780071232524, 0072918373, 9780072918373, 9780071115193, 0071115196, 9780072955675, 0072955678
- oclc:ocm52386251
- LC Classification:QA278.2
- Dewey Decimal:519.5/36
Table of Contents
pt. I. Simple linear regression. Linear regression with one predictor variable -- Inferences in regression and correlation analysis -- Diagnostics and remedial measures -- Simultaneous inferences and other topics in regression analysis -- Matrix approach to simple linear regression analysis -- pt. II. Multiple linear regression. Multiple regression I -- Multiple regression II -- Regression models for quantitative and qualitative predictors -- Building the regression model I: model selection and validation -- Building the regression model II: diagnostics -- Building the regression model III: remedial measures -- Autocorrelation in time series data -- pt. III. Nonlinear regression. Introduction to nonlinear regression and neural networks -- Logistic regression, Poisson regression, and generalized linear models.
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