Goodness of fit test for uniform distribution with censored observation

We develop new goodness of fit test for uniform distribution based on a conditional moment characterization. We study the asymptotic properties of the proposed test statistic. We also present a goodness of fit test for uniform distribution to incorporate the right censored observations and studied i...

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Detalles Bibliográficos
Autores principales: Sreedevi, E. P., Kattumannil, Sudheesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869324/
https://www.ncbi.nlm.nih.gov/pubmed/36713637
http://dx.doi.org/10.1007/s42952-023-00205-8
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author Sreedevi, E. P.
Kattumannil, Sudheesh K.
author_facet Sreedevi, E. P.
Kattumannil, Sudheesh K.
author_sort Sreedevi, E. P.
collection PubMed
description We develop new goodness of fit test for uniform distribution based on a conditional moment characterization. We study the asymptotic properties of the proposed test statistic. We also present a goodness of fit test for uniform distribution to incorporate the right censored observations and studied its properties. A Monte Carlo simulation study is carried out to evaluate the finite sample performance of the proposed tests. We illustrate the test procedures using real data sets.
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spelling pubmed-98693242023-01-23 Goodness of fit test for uniform distribution with censored observation Sreedevi, E. P. Kattumannil, Sudheesh K. J Korean Stat Soc Research Article We develop new goodness of fit test for uniform distribution based on a conditional moment characterization. We study the asymptotic properties of the proposed test statistic. We also present a goodness of fit test for uniform distribution to incorporate the right censored observations and studied its properties. A Monte Carlo simulation study is carried out to evaluate the finite sample performance of the proposed tests. We illustrate the test procedures using real data sets. Springer Nature Singapore 2023-01-23 2023 /pmc/articles/PMC9869324/ /pubmed/36713637 http://dx.doi.org/10.1007/s42952-023-00205-8 Text en © Korean Statistical Society 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Research Article
Sreedevi, E. P.
Kattumannil, Sudheesh K.
Goodness of fit test for uniform distribution with censored observation
title Goodness of fit test for uniform distribution with censored observation
title_full Goodness of fit test for uniform distribution with censored observation
title_fullStr Goodness of fit test for uniform distribution with censored observation
title_full_unstemmed Goodness of fit test for uniform distribution with censored observation
title_short Goodness of fit test for uniform distribution with censored observation
title_sort goodness of fit test for uniform distribution with censored observation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869324/
https://www.ncbi.nlm.nih.gov/pubmed/36713637
http://dx.doi.org/10.1007/s42952-023-00205-8
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