Incorporates mixed-effects modeling techniques for more powerful and efficient methodsThis book presents current and effective nonparametric regression techniques for longitudinal data analysis and systematically investigates the incorporation of mixed-effects modeling techniques into various nonpar
Nonparametric regression methods for longitudinal data analysis: [mixed-effects modeling approaches]
β Scribed by Hulin Wu, Jin-Ting Zhang
- Publisher
- Wiley-Interscience
- Year
- 2006
- Tongue
- English
- Leaves
- 390
- Series
- Wiley series in probability and statistics
- Category
- Library
No coin nor oath required. For personal study only.
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Fixed Effects Regression Methods for Longitudinal Data Using SAS is an invaluable resource for all researchers interested in adding fixed effects regression methods to their tool kit of statistical techniques. First introduced by economists, fixed effects methods are gaining widespread use through
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