Function-based hypothesis testing in censored two-sample location-scale models

Document Type

Article

Publication Date

1-1-2020

Abstract

Function-based hypothesis testing in two-sample location-scale models has been addressed for uncensored data using the empirical characteristic function. A test of adequacy in censored two-sample location-scale models is lacking, however. A plug-in empirical likelihood approach is used to introduce a test statistic, which, asymptotically, is not distribution free. Hence for practical situations bootstrap is necessary for performing the test. A multiplier bootstrap and a model appropriate resampling procedure are given to approximate critical values from the null asymptotic distribution. Although minimum distance estimators of the location and scale are deployed for the plug-in, any consistent estimators can be used. Numerical studies are carried out that validate the proposed testing method, and real example illustrations are given.

Identifier

85058364458 (Scopus)

Publication Title

Lifetime Data Analysis

External Full Text Location

https://doi.org/10.1007/s10985-018-09456-8

e-ISSN

15729249

ISSN

13807870

PubMed ID

30539363

First Page

183

Last Page

213

Issue

1

Volume

26

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