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Start Over Degree PHD Committee Member James Landis Rosenberger Keyword convex hull Keyword Kullback-Leibler distance Keyword unbiased estimation Author Last Name Lee

1. Two Topics: A Jackknife Maximum Likelihood Approach to Statistical Model Selection and a Convex Hull Peeling Depth Approach to Nonparametric Massive Multivariate Data Analysis with Applications

open_access
Open Access
Author:
Lee, Hyunsook
Title:
Two Topics: A Jackknife Maximum Likelihood Approach to Statistical Model Selection and a Convex Hull Peeling Depth Approach to Nonparametric Massive Multivariate Data Analysis with Applications
Graduate Program:
Statistics
Keywords:
Kullback-Leibler distance
information criterion
statistical model selection
jackknife
jackknife information criterion
bias reduction
maximum likelihood
unbiased estimation
non-nested model
computational geometry
convex hull
convex hull peeling
statistical data depth
nonparametric statistics
generalized quantile process
descriptive statistics
skewness
kurtosis
volume functional
convex hull level set
massive data
outlier detection
balloon plot
multivariate analysis
File:
Download hlee.pdf
Committee Members:
G Jogesh Babu, Committee Chair/Co-Chair
Thomas P Hettmansperger, Committee Member
Bing Li, Committee Member
William Kenneth Jenkins, Committee Member
James Landis Rosenberger, Committee Member