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...
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| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Series: | SpringerBriefs in Statistics,
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| Online Access: | Full Text via HEAL-Link |
Internet
Full Text via HEAL-LinkΒΚΠ - Πατρα: ALFd
| Call Number: |
330.01 BAU |
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| Copy 1 | Available |
ΒΚΠ - Πατρα: BSC
| Call Number: |
330.01 BAU |
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| Copy 2 | Available |
| Copy 3 | Available |