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A New Inference Approach for Type-II Generalized Birnbaum-Saunders Distribution

Department of Mathematical Sciences, University of Texas at El Paso, El Paso, TX 79968, USA
Current address: 500 W University Ave., El Paso, TX 79968, USA.
Stats 2019, 2(1), 148-163; https://doi.org/10.3390/stats2010011
Received: 7 January 2019 / Revised: 5 February 2019 / Accepted: 17 February 2019 / Published: 19 February 2019
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Abstract

The Birnbaum-Saunders (BS) distribution, with its generalizations, has been successfully applied in a wide variety of fields. One generalization, type-II generalized BS (denoted as GBS-II), has been developed and attracted considerable attention in recent years. In this article, we propose a new simple and convenient procedure of inference approach for GBS-II distribution. An extensive simulation study is carried out to assess performance of the methods under various settings of parameter values with different sample sizes. Real data are analyzed for illustrative purposes to display the efficiency of the proposed method. View Full-Text
Keywords: generalized Birnbaum-Saunders distribution; likelihood function; transformation; approximation; estimation; hypothesis test generalized Birnbaum-Saunders distribution; likelihood function; transformation; approximation; estimation; hypothesis test
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Sha, N. A New Inference Approach for Type-II Generalized Birnbaum-Saunders Distribution. Stats 2019, 2, 148-163.

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