Testing the Number of Components in a Birnbaum-Saunders Mixture Model under a Random Censoring Scheme

Walaa EL-Sharkawy; Moshira A.  Ismail

doi:10.19139/soic-2310-5070-919

Walaa EL-Sharkawy Department of Mathematics, Faculty of Science, Cairo University, Egypt
Moshira A. Ismail Department of Statistics, Faculty of Economics and Political Science, Cairo University, Egypt

DOI: https://doi.org/10.19139/soic-2310-5070-919

Keywords: Birnbaum-Saunders Mixture Model, Bootstrap Test, Censoring, Modified Likelihood Ratio Test, Monte Carlo Method, Power

Abstract

This paper deals with testing the number of components in a Birnbaum-Saunders mixture model under randomly right censored data. We focus on two methods, one based on the modified likelihood ratio test and the other based on the shortcut of bootstrap test. Based on extensive Monte Carlo simulation studies, we evaluate and compare the performance of the proposed tests through their size and power. A power analysis provides guidance for researchers to examine the factors that affect the power of the proposed tests used in detecting the correct number of components in a Birnbaum-Saunders mixture model. Finally an example of aircraft Windshield data is used to illustrate the testing procedure.

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