Cross-comparative Analysis of Frequentist and Bayesian Perspectives on Failure Time Distributions

Author:

Turkson Anthony Joe1

Affiliation:

1. Mathematics, Statistics and Actuarial Science Department, Takoradi Technical University, Sekondi-Takoradi, Ghana

Abstract

In reliability analysis, both the Weibull and the lognormal distributions could be analyzed using the observed data logarithms. While the Weibull data logarithm is skewed, the lognormal data logarithm is symmetrical. This review work initiates discussions on and syntheses of the various views held on the use of the frequentist and Bayesian approaches to drawing statistical inferences on failure time distributions of survival models. Of greater concern was the discussion on the use of the exponential, Weibull and log-normal distributions in reliability analysis. Various methods have been used to discriminate between the two most important distributions. They include: Coefficients of variation (CV); the standard deviation of the data logarithms (SD); the percentile position of the mean of the data logarithm (PP); the cumulated logarithm dispersion before and after the mean (CLD); ratio of the maximum likelihood (RML); Kullback-Leibler Divergence (KLD); and Minimized Kullback-Leibler Divergence (RMKLD). In the (CV, SD, PP and CLD) study, a stress-strength data set was used for the analysis. The stress data followed a lognormal distribution, while the strength data followed a Weibull distribution, therefore for the stress-strength analysis the lognormal-Weibull combination was used. In the ratio of the maximum likelihood (RML) study, it was averred that though each of the distributions had great applications, none of them produced a good fit. In the study using Kullback-Leibler Divergence (KLD); and Minimized Kullback-Leibler Divergence (RMKLD), test results revealed that RML=0.345>0. Hence the lognormal distribution was selected. Similarly, the RMKLD=0.6028>0, therefore the Weibull distribution was selected. In the final analysis, none of the study results could reject the Weibull in favour of the lognormal distribution model. In respect of the frequentist and the Bayesian approach to conducting statistical inferences, it came out strongly that it was high time psychologist who had adopted the use of the frequentist framework moved away from it and started using the Bayesian approach. A shift towards the use of the Bayesian, lognormal-Weibull approach is thus recommendable.

Publisher

Earthline Publishers

Subject

General Medicine

Reference36 articles.

1. S. Selvin, Survival Analysis for Epidemiology and Medical Research: A Practical Guide, Cambridge University Press, New York, 2008.

2. S. F. Morris, Confidence Limits - Exponential Distribution, Reliability Analytics Corporation, 2017

3. J. Kensler, and L. Cortes, Interpreting confidence intervals, Scientific Test and Analysis Techniques Center of Excellence (STAT COE), 24 December 2014.

4. D. R. Cox, Some problems connected with statistical inference, The Annals of Mathematical Statistics 29 (1958), 357-372. https://doi.org/10.1214/aoms/1177706618

5. R. T. Cox, Probability, frequency and reasonable expectation, The American Journal of Physics 14 (1946), 1-13. https://doi.org/10.1119/1.1990764

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3