Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos
Verification that the observed data on a random phenomenon may be assumed to have been drawn from a Normal Probability Distribution is necessary in a variety of practical situations. Frequently in these problems, there are few observations. In the field of statistics many hypothesis tests are propos...
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Autores principales: | , , , |
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Formato: | Artículo revista |
Lenguaje: | Español |
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Facultad de Ciencias Exactas, Físicas y Naturales
2017
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Acceso en línea: | https://revistas.unc.edu.ar/index.php/FCEFyN/article/view/16775 |
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I10-R10article-16775 |
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record_format |
ojs |
institution |
Universidad Nacional de Córdoba |
institution_str |
I-10 |
repository_str |
R-10 |
container_title_str |
Revistas de la UNC |
language |
Español |
format |
Artículo revista |
topic |
Statistics– Normal Probability test – Small Samples – Power of Tests |
spellingShingle |
Statistics– Normal Probability test – Small Samples – Power of Tests Cabrera, Gabriela Zanazzi, José Francisco Zanazzi, José Luis Boaglio, Laura Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
topic_facet |
Statistics– Normal Probability test – Small Samples – Power of Tests |
author |
Cabrera, Gabriela Zanazzi, José Francisco Zanazzi, José Luis Boaglio, Laura |
author_facet |
Cabrera, Gabriela Zanazzi, José Francisco Zanazzi, José Luis Boaglio, Laura |
author_sort |
Cabrera, Gabriela |
title |
Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
title_short |
Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
title_full |
Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
title_fullStr |
Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
title_full_unstemmed |
Comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
title_sort |
comparación de potencias en pruebas estadísticas de normalidad, con datos escasos |
description |
Verification that the observed data on a random phenomenon may be assumed to have been drawn from a Normal Probability Distribution is necessary in a variety of practical situations. Frequently in these problems, there are few observations. In the field of statistics many hypothesis tests are proposed to verify normality. Some researchers have conducted studies on most of the tests in question, including the determination of power. Unfortunately, verifications generally operate with samples of fifty or more data. Therefore, in this work the power of various tests is estimated with samples of ten, fifteen and twenty data. Besides, power is determined in situations where the original distribution is symmetrical, which undoubtedly represents the worst condition for the test. For these operations simulation experiments are performed. The paper concludes with a qualitative assessment of the appropriateness of the analyzed tests. |
publisher |
Facultad de Ciencias Exactas, Físicas y Naturales |
publishDate |
2017 |
url |
https://revistas.unc.edu.ar/index.php/FCEFyN/article/view/16775 |
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Revistas |
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