COMPARISON OF TWO SAMPLES BY A NONPARAMETRIC LIKELIHOOD-RATIO TEST

COMPARISON OF TWO SAMPLES BY A NONPARAMETRIC LIKELIHOOD-RATIO TEST

In this dissertation we present a novel computational method, as well as its software implementation, to compare two samples by a nonparametric likelihood-ratio test. The basis of the comparison is a mean-type hypothesis. The software is written in the R-language [4]. The two samples are assumed to...

Full description

Bibliographic Details
Main Author: Barton, William H.
Format: Others
Published: UKnowledge 2010
Subjects:
Likelihood
Ratio
Nonparametric
Hypothesis
Hazard
Statistics and Probability
Online Access:http://uknowledge.uky.edu/gradschool_diss/99
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1097&context=gradschool_diss

Internet

http://uknowledge.uky.edu/gradschool_diss/99
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1097&context=gradschool_diss

Similar Items