Affiliation:
1. Department of Statistics, Cochin University of Science and Technology, Cochin 682 022, Kerala, India
Abstract
In this paper, we study some reliability aspects of proportional reversed hazards model (PRHM) using quantile functions and derive certain characteristic properties. A quantile-based relevation transform for past lifetime random variable is introduced. The relationships between quantile-based PRHM and quantile versions of measures of divergence are investigated.
Publisher
World Scientific Pub Co Pte Lt
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Energy Engineering and Power Technology,Aerospace Engineering,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering,General Computer Science
Cited by
4 articles.
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1. Quantile-based cumulative Kullback-Leibler divergence in past lifetime: Some properties and applications;Communications in Statistics - Theory and Methods;2024-05-13
2. A new two-parametric weighted generalized inaccuracy measure;Journal of Applied Mathematics, Statistics and Informatics;2023-12-01
3. Reliability Aspects of Quantile-Based Residual Coefficient of Variation;International Journal of Reliability, Quality and Safety Engineering;2023-03-10
4. Bivariate Quantile-Based Entropy in Past Lifetime;Journal of the Indian Society for Probability and Statistics;2022-05-12