Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.

The present work proposes a Hypothesis Test to detect a shift in the variance of a series of independent normal observations using a statistic based on the p-values of the F distribution. Since the probability distribution function of this statistic is intractable, critical values were we estimated...

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Detalles Bibliográficos
Autor principal: Armendáriz Hernández, Samuel Uriel
Formato: Tesis
Lenguaje:inglés
Publicado: 2015
Materias:
Acceso en línea:http://eprints.uanl.mx/9386/1/1080214884.pdf
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author Armendáriz Hernández, Samuel Uriel
author_facet Armendáriz Hernández, Samuel Uriel
author_sort Armendáriz Hernández, Samuel Uriel
collection Repositorio Institucional
description The present work proposes a Hypothesis Test to detect a shift in the variance of a series of independent normal observations using a statistic based on the p-values of the F distribution. Since the probability distribution function of this statistic is intractable, critical values were we estimated numerically through extensive simulation. A regression approach was used to simplify the quantile evaluation and extrapolation. The power of the test was simulated using Monte Carlo simulation, and the results were compared with the Chen test (1997) to prove its efficiency. Time series analysts might find the test useful to address homoscedasticity studies were at most one change might be involved.
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spelling eprints-93862019-11-26T22:41:53Z http://eprints.uanl.mx/9386/ Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations. Armendáriz Hernández, Samuel Uriel QA Matemáticas, Ciencias computacionales The present work proposes a Hypothesis Test to detect a shift in the variance of a series of independent normal observations using a statistic based on the p-values of the F distribution. Since the probability distribution function of this statistic is intractable, critical values were we estimated numerically through extensive simulation. A regression approach was used to simplify the quantile evaluation and extrapolation. The power of the test was simulated using Monte Carlo simulation, and the results were compared with the Chen test (1997) to prove its efficiency. Time series analysts might find the test useful to address homoscedasticity studies were at most one change might be involved. 2015-06 Tesis NonPeerReviewed text en cc_by_nc_nd http://eprints.uanl.mx/9386/1/1080214884.pdf http://eprints.uanl.mx/9386/1.haspreviewThumbnailVersion/1080214884.pdf Armendáriz Hernández, Samuel Uriel (2015) Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations. Maestría thesis, Universidad Autónoma de Nuevo León.
spellingShingle QA Matemáticas, Ciencias computacionales
Armendáriz Hernández, Samuel Uriel
Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.
title_full Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.
title_fullStr Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.
title_full_unstemmed Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.
title_short Hypothesis test for changes in variance using a statistic based in P-values in a time series of normal independent observations.
title_sort hypothesis test for changes in variance using a statistic based in p values in a time series of normal independent observations
topic QA Matemáticas, Ciencias computacionales
url http://eprints.uanl.mx/9386/1/1080214884.pdf
work_keys_str_mv AT armendarizhernandezsamueluriel hypothesistestforchangesinvarianceusingastatisticbasedinpvaluesinatimeseriesofnormalindependentobservations