Introduction to linear regression analysis
著者
書誌事項
Introduction to linear regression analysis
(Wiley series in probability and mathematical statistics, . Applied probability and statistics)
Wiley, c1992
2nd ed
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注記
"A Wiley-Interscience publication."
Includes bibliographical references (p. 507-522) and index
内容説明・目次
内容説明
Intended as a text for a basic course in linear regression analysis, this manual blends both theory and application so that the reader will obtain an understanding of the basic principles necessary to apply regression methods in a variety of practical settings. New material has been added on regression diagnostics, sample computer output with expanded interpretations, handling missing observations, and handling generalized linear models and nonlinear regress. The examples and problem sets have been revised.
目次
- Simple Linear Regression and Correlation
- Measures of Model Adequacy
- Multiple Linear Regression
- Polynomial Regression Models
- Indicator Variables
- Multicollinearity
- Validation of Regression Models.
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