On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data

"In this work, we present goodness-of-fit tests related to the Kolmogorov-Smirnov and Michael statistics and connect them to graphical methods with uncensored and censored data. The Anderson-Darling test is often empirically more powerful than the Kolmogorov-Smirnov test. However, the former on...

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Autores principales: Castro-Kuriss, Claudia, Huerta, Mauricio, Leiva, Víctor, Tapia, Alejandra
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2019
Materias:
ESTADISTICA
ANALISIS DE DATOS
PRUEBAS
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/1821
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-1821
record_format dspace
spelling I32-R138-123456789-18212022-12-07T14:13:57Z On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data Castro-Kuriss, Claudia Huerta, Mauricio Leiva, Víctor Tapia, Alejandra ESTADISTICA ANALISIS DE DATOS PRUEBAS "In this work, we present goodness-of-fit tests related to the Kolmogorov-Smirnov and Michael statistics and connect them to graphical methods with uncensored and censored data. The Anderson-Darling test is often empirically more powerful than the Kolmogorov-Smirnov test. However, the former one cannot be related to graphical tools by means of probability plots, as the Kolmogorov-Smirnov test does. The Michael test is, in some cases, more powerful than the Anderson-Darling and Kolmogorov- Smirnov tests and can also be related to probability plots.We consider the Kolmogorov-Smirnov and Michael tests for detecting whether any distribution is suitable or not to model censored or uncensored data. We conduct numerical studies to show the performance of these tests and the corresponding graphical tools. Some comments related to big data and lifetime analysis, under the context of this study, are provided in the conclusions of this work." 2019-11-14T16:03:51Z 2019-11-14T16:03:51Z 2019 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion 2194-5357 http://ri.itba.edu.ar/handle/123456789/1821 en info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-030-21248-3_12 info:eu-repo/grantAgreement/FONDECYT/1160868/CL. Santiago application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic ESTADISTICA
ANALISIS DE DATOS
PRUEBAS
spellingShingle ESTADISTICA
ANALISIS DE DATOS
PRUEBAS
Castro-Kuriss, Claudia
Huerta, Mauricio
Leiva, Víctor
Tapia, Alejandra
On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
topic_facet ESTADISTICA
ANALISIS DE DATOS
PRUEBAS
description "In this work, we present goodness-of-fit tests related to the Kolmogorov-Smirnov and Michael statistics and connect them to graphical methods with uncensored and censored data. The Anderson-Darling test is often empirically more powerful than the Kolmogorov-Smirnov test. However, the former one cannot be related to graphical tools by means of probability plots, as the Kolmogorov-Smirnov test does. The Michael test is, in some cases, more powerful than the Anderson-Darling and Kolmogorov- Smirnov tests and can also be related to probability plots.We consider the Kolmogorov-Smirnov and Michael tests for detecting whether any distribution is suitable or not to model censored or uncensored data. We conduct numerical studies to show the performance of these tests and the corresponding graphical tools. Some comments related to big data and lifetime analysis, under the context of this study, are provided in the conclusions of this work."
format Ponencias en Congresos
acceptedVersion
author Castro-Kuriss, Claudia
Huerta, Mauricio
Leiva, Víctor
Tapia, Alejandra
author_facet Castro-Kuriss, Claudia
Huerta, Mauricio
Leiva, Víctor
Tapia, Alejandra
author_sort Castro-Kuriss, Claudia
title On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
title_short On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
title_full On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
title_fullStr On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
title_full_unstemmed On some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
title_sort on some goodness-of-fit tests and their connection to graphical methods with uncensored and censored data
publishDate 2019
url http://ri.itba.edu.ar/handle/123456789/1821
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