Penalty, Shrinkage and Pretest Strategies

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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 asymptotic properties of the non-penalty estimators and their asymptotic distributional efficiency com...

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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 asymptotic properties of the non-penalty estimators and their asymptotic distributional efficiency com...

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  • Formats: pdf
  • ISBN: 9783319031491
  • Publication Date: 11 Dec 2013
  • Publisher: Springer International Publishing
  • Product language: English
  • Drm Setting: DRM