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Regression Diagnostics
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Regression Diagnostics
An Introduction



October 1991 | 96 pages | SAGE Publications, Inc
With Regression Diagnostics, researchers now have an accessible explanation of the techniques needed for exploring problems that compromise a regression analysis and for determining whether certain assumptions appear reasonable. The book covers such topics as the problem of collinearity in multiple regression, dealing with outlying and influential data, non-normality of errors, non-constant error variance and the problems and opportunities presented by discrete data. In addition, sophisticated diagnostics based on maximum-likelihood methods, scores tests, and constructed variables are introduced.
 
Introduction
 
Linear Least-Squares Regression
 
Collinearity
 
Outlying and Influential Data
 
Non-Normally Distributed Errors
 
Non-Constant Error Variance
 
Nonlinearity
 
Discrete Data
 
Maximum-Likelihood Methods, Score Tests, and Constructed Variables
 
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ISBN: 9780803939714
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