Comparison of ridge and other shrinkage estimation techniques
Includes bibliographical references. === Shrinkage estimation is an increasingly popular class of biased parameter estimation techniques, vital when the columns of the matrix of independent variables X exhibit dependencies or near dependencies. These dependencies often lead to serious problems in le...
Main Author: | Vumbukani, Bokang C |
---|---|
Other Authors: | Thiart, Christien |
Format: | Dissertation |
Language: | English |
Published: |
University of Cape Town
2014
|
Subjects: | |
Online Access: | http://hdl.handle.net/11427/4364 |
Similar Items
-
A shrinkage robust ridge estimator with an intercept term
by: Ting-yu Lin, et al.
Published: (2019) -
On the Performance of some Poisson Ridge Regression Estimators
by: Zaldivar, Cynthia
Published: (2018) - Estimation and Sequential Monitoring of Nonlinear Functional Responses Using Wavelet Shrinkage
-
On Some Ridge Regression Estimators for Logistic Regression Models
by: Williams, Ulyana P
Published: (2018) -
Nearest hypersphere classification : a comparison with other classification techniques
by: Van der Westhuizen, Cornelius Stephanus
Published: (2015)