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Penalty, Shrinkage and Pretest Strategies Variable Selection and Estimation /
The objective of this book is to compare the statistical properties of penalty and non-penalty estimation strategies for some popular models. Specifically, it considers the full model, submodel, penalty, pretest and shrinkage estimation techniques for three regression models before presenting the a...
| Call Number: | Libro Electrónico |
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| Main Author: | |
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Edition: | 1st ed. 2014. |
| Series: | SpringerBriefs in Statistics,
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| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- Preface
- Estimation Strategies
- Improved Estimation Strategies in Normal and Poisson Models
- Pooling Data: Making Sense or Folly
- Estimation Strategies in Multiple Regression Models
- Estimation Strategies in Partially Linear Models
- Estimation Strategies in Poisson Regression Models.