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Annals of Data Science
Erschienen in:

18.06.2022

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

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

Erschienen in: Annals of Data Science | Ausgabe 5/2023

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Abstract

A new modified version of the Bagdonavičius and Nikulin goodness-of-fit statistical test is presented and investigated for validity under the exponentiated Rayleigh generalized Chen distribution and the right censor case. Simulations via the algorithm of Barzilai-Borwein is performed for assessing the right censored estimation method. Four right censored data sets are analyzed under the new modified test statistic for checking the distributional validation.
Vorheriger Artikel Inferential Survival Analysis for Inverted NH Distribution Under Adaptive Progressive Hybrid Censoring with Application of Transformer Insulation
Nächster Artikel Part of Speech Tagging Using Part of Speech Sequence Graph

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Metadaten
Titel
A Novel Test Statistic for Right Censored Validity under a new Chen extension with Applications in Reliability and Medicine
verfasst von
Mohamed Ibrahim
Khaoula Aidi
M. Masoom Ali
Haitham M. Yousof
Publikationsdatum
18.06.2022
Verlag
Springer Berlin Heidelberg
Erschienen in
Annals of Data Science / Ausgabe 5/2023
Print ISSN: 2198-5804
Elektronische ISSN: 2198-5812
DOI
https://doi.org/10.1007/s40745-022-00416-6

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