NDLI: Testing for uniform stochastic ordering via empirical likelihood

Content Provider	Springer Nature Link
Author	El Barmi, Hammou McKeague, Ian W.
Copyright Year	2015
Abstract	This paper develops an empirical likelihood approach to testing for the presence of uniform stochastic ordering (or hazard rate ordering) among univariate distributions based on independent random samples from each distribution. The proposed test statistic is formed by integrating a localized empirical likelihood statistic with respect to the empirical distribution of the pooled sample. The asymptotic null distribution of this test statistic is found to have a simple distribution-free representation in terms of standard Brownian motion. The approach is extended to the case of right-censored survival data via multiple imputation. Two applications are discussed: (1) uncensored survival time data of mice exposed to radiation, and (2) right-censored time-to-infection data from a human HIV vaccine trial comparing a placebo group with a vaccine group.
Starting Page	955
Ending Page	976
Page Count	22
File Format	PDF
ISSN	00203157
Journal	Annals of the Institute of Statistical Mathematics
Volume Number	68
Issue Number	5
e-ISSN	15729052
Language	English
Publisher	Springer Japan
Publisher Date	2015-06-09
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Distribution-free Order-restricted inference Nonparametric likelihood ratio testing Statistics Statistics for Business/Economics/Mathematical Finance/Insurance
Content Type	Text
Resource Type	Article
Subject	Statistics and Probability

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