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.
| ISBN | 080393971X | | Pages | 96 | | ISBN13 | 9780803939714
(What's this?) | | Volumes | 1 | | Publisher | SAGE Publications Inc | | Weight (grammes) | 118 | | Imprint | SAGE Publications Inc | | Published in | Thousand Oaks | | Format | Paperback | | Series ISSN | 0149-192 | | Publication date | 08 Oct 1991 | | Series title | Quantitative Applications in the Social Sciences | | Writer of introduction | Lewis-Beck, Michael S. | | Height (mm) | 216 | | Library of Congress | QA278.2.F6 | | Width (mm) | 140 | | DEWEY | 300.151 | | Spine width (mm) | 6 | | DEWEY edition | DC20 | | Academic level | Tertiary education |
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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
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