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Annals of Data Science
Published in:

18-06-2022

A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine

Authors: Mohamed Ibrahim, Khaoula Aidi, M. Masoom Ali, Haitham M. Yousof

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

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Abstract

The article introduces a novel test statistic for right censored data under the new Chen extension, with applications in reliability and medicine. It presents a modified Chi-squared goodness-of-fit test statistic based on the Bagdonavičius-Nikulin test and applies it to the Exponentiated Rayleigh Generalized Chen distribution. The new test statistic is validated through comprehensive simulations and real-world data sets, demonstrating its effectiveness in distributional validation. The article also provides detailed derivations and applications, making it a valuable resource for statisticians and data scientists.
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Metadata
Title
A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine
Authors
Mohamed Ibrahim
Khaoula Aidi
M. Masoom Ali
Haitham M. Yousof
Publication date
18-06-2022
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/s40745-022-00416-6

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