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...
Main Author: | Ahmed, S. Ejaz (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
|
Series: | SpringerBriefs in Statistics,
|
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Shrinkage Estimation
by: Fourdrinier, Dominique, et al.
Published: (2018) -
Regression Modeling Strategies With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis /
by: Harrell , Jr., Frank E.
Published: (2015) -
Bayesian Essentials with R
by: Marin, Jean-Michel, et al.
Published: (2014) -
The Significance Test Controversy Revisited The Fiducial Bayesian Alternative /
by: Lecoutre, Bruno, et al.
Published: (2014) -
Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data Proceedings of the 2015 International Symposium in Statistics /
Published: (2016)