Regression diagnostics
著者
書誌事項
Regression diagnostics
（Sage university papers series, . Quantitative applications in the social sciences ; no. 07-079）
Sage, c1991
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注記
Bibliography: p. 89-92
内容説明・目次
内容説明
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.
目次
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
Recommendations
「Nielsen BookData」 より