2017 READING CHALLENGE RECOMMENDATIONS
The new year is a time to challenge yourself to reach new […]
Michael S. Lewis-Beck
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Open Books Ltd
Great Deals 2016
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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.
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