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Annals of Data Science
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02-07-2022

Inference on a Multicomponent Stress-Strength Model Based on Unit-Burr III Distributions

Authors: Devendra Pratap Singh, Mayank Kumar Jha, Yogesh Mani Tripathi, Liang Wang

Published in: Annals of Data Science | Issue 5/2023

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Abstract

The article presents a detailed study on the inference of a multicomponent stress-strength model using Unit-Burr III distributions. It explores the estimation of reliability parameters under type-II censoring, employing both maximum likelihood and pivotal-based methods. The authors provide algorithms for computing estimates and compare the performance of different estimators through simulation studies. Additionally, the article includes a real data illustration to demonstrate the practical application of the proposed methods. The work is particularly relevant for professionals in fields requiring robust reliability analysis, such as manufacturing and engineering.
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Metadata
Title
Inference on a Multicomponent Stress-Strength Model Based on Unit-Burr III Distributions
Authors
Devendra Pratap Singh
Mayank Kumar Jha
Yogesh Mani Tripathi
Liang Wang
Publication date
02-07-2022
Publisher
Springer Berlin Heidelberg
Published in
Annals of Data Science / Issue 5/2023
Print ISSN: 2198-5804
Electronic ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00429-1

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