Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales

Hypothesis test are widely used in data analysis but, in general, the random nature of p value is not consider in such applications. Power function and p-value probability distribution are strongly related, this relationship should be a component in both hypothesis testing conclusions and sample siz...

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Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22191
Acceso en línea:
https://repository.urosario.edu.co/handle/10336/22191
Palabra clave:
Hypothesis Test
Normal Populations
P-value
Percentiles
Probability distribution
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network_acronym_str EDOCUR2
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repository_id_str
spelling 05e113ea-602d-4c7b-afc7-c16938236002-12020-05-25T23:55:44Z2020-05-25T23:55:44Z2016Hypothesis test are widely used in data analysis but, in general, the random nature of p value is not consider in such applications. Power function and p-value probability distribution are strongly related, this relationship should be a component in both hypothesis testing conclusions and sample size calculation. However, this is not the case, possibly due of to two factors: first many people ignore the random nature of p-value and second there is a lack of information in the subject. Some papers introduced some characteristics of p-value distribution as mean value and median, but such values were not obtained for every parametric test in normal populations. This paper contains a full characterization of p-values probability distribution for both one and two sided hypothesis test for parameters in one or two normal populations. P-value probability distribution and their percentiles are presented, emphasizing in median value. Additionally the paper introduces approximate criteria for calculating both distribution function and percentiles, and highlight the relationship between power function and p-value.application/pdf2574306https://repository.urosario.edu.co/handle/10336/22191engUniversidad de La Habana47No. 138Investigacion OperacionalVol. 37Investigacion Operacional, ISSN:2574306, Vol.37, No.1 (2016); pp. 38-47https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954546094&partnerID=40&md5=d6ac5d41a929e8b5f9d5974da6d8d919Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURHypothesis TestNormal PopulationsP-valuePercentilesProbability distributionCaracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normalesarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Monterrey P.A.10336/22191oai:repository.urosario.edu.co:10336/221912022-05-02 07:37:18.078757https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
title Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
spellingShingle Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
Hypothesis Test
Normal Populations
P-value
Percentiles
Probability distribution
title_short Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
title_full Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
title_fullStr Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
title_full_unstemmed Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
title_sort Caracterización de la distribución de los valores p de las pruebas paramétricas en poblaciones normales
dc.subject.keyword.spa.fl_str_mv Hypothesis Test
Normal Populations
P-value
Percentiles
Probability distribution
topic Hypothesis Test
Normal Populations
P-value
Percentiles
Probability distribution
description Hypothesis test are widely used in data analysis but, in general, the random nature of p value is not consider in such applications. Power function and p-value probability distribution are strongly related, this relationship should be a component in both hypothesis testing conclusions and sample size calculation. However, this is not the case, possibly due of to two factors: first many people ignore the random nature of p-value and second there is a lack of information in the subject. Some papers introduced some characteristics of p-value distribution as mean value and median, but such values were not obtained for every parametric test in normal populations. This paper contains a full characterization of p-values probability distribution for both one and two sided hypothesis test for parameters in one or two normal populations. P-value probability distribution and their percentiles are presented, emphasizing in median value. Additionally the paper introduces approximate criteria for calculating both distribution function and percentiles, and highlight the relationship between power function and p-value.
publishDate 2016
dc.date.created.spa.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:55:44Z
dc.date.available.none.fl_str_mv 2020-05-25T23:55:44Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.issn.none.fl_str_mv 2574306
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22191
identifier_str_mv 2574306
url https://repository.urosario.edu.co/handle/10336/22191
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 47
dc.relation.citationIssue.none.fl_str_mv No. 1
dc.relation.citationStartPage.none.fl_str_mv 38
dc.relation.citationTitle.none.fl_str_mv Investigacion Operacional
dc.relation.citationVolume.none.fl_str_mv Vol. 37
dc.relation.ispartof.spa.fl_str_mv Investigacion Operacional, ISSN:2574306, Vol.37, No.1 (2016); pp. 38-47
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84954546094&partnerID=40&md5=d6ac5d41a929e8b5f9d5974da6d8d919
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Universidad de La Habana
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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