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Mathematical and Computational Applications is published by MDPI from Volume 21 Issue 1 (2016). Articles in this Issue were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence. Articles are hosted by MDPI on mdpi.com as a courtesy and upon agreement with the previous journal publisher.
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Math. Comput. Appl. 2012, 17(1), 29-38; https://doi.org/10.3390/mca17010029

Bayesian Estimator of a Change Point in the Hazard Function

Department of Statistics, Hacettepe University, 06800 Beytepe, Ankara, Turkey
Published: 1 April 2012
PDF [411 KB, uploaded 10 March 2016]

Abstract

This article presents a new approach for obtaining the change point in the hazard function. The proposed approach is developed with the Bayesian estimator. Using a simulation study, mean value and mean square error (MSE) of proposed estimator are obtained and compared with the mean and MSE of traditional estimators. It is showed that the proposed estimator is more efficient than the traditional estimators in many cases. Furthermore, a numerical example is discussed to demonstrate the practice of the proposed estimator.
Keywords: Bayesian Estimator; Change Point; Constant Hazard; Survival Analysis Bayesian Estimator; Change Point; Constant Hazard; Survival Analysis
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Karasoy, D. Bayesian Estimator of a Change Point in the Hazard Function. Math. Comput. Appl. 2012, 17, 29-38.

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