Solutions Manual to Advanced Regression Models with SAS and R

[LeeAndro]

English | 2019 | ISBN: 1138049018 | 340 Pages | PDF | 4 MB

Advanced Regression Models with SAS and R exposes the reader to the modern world of regression analysis.​

The material covered by this book consists of regression models that go beyond linear regression, including models for right-skewed, categorical and hierarchical observations. The book presents the theory as well as fully worked-out numerical examples with complete SAS and R codes for each regression. The emphasis is on model accuracy and the interpretation of results. For each regression, the fitted model is presented along with interpretation of estimated regression coefficients and prediction of response for given values of predictors.

Features

- Presents the theoretical framework for each regression.
- Discusses data that are categorical, count, proportions, right-skewed, loudinal and hierarchical.
- Uses examples based on real-life consulting projects.
- Provides complete SAS and R codes for each example.
- Includes several exercises for every regression.

Advanced Regression Models with SAS and R is designed as a text for an upper division undergraduate or a graduate course in regression analysis. Prior exposure to the two software packages is desired but not required.



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