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Main Author: Fortunato S. de Menezes
Format: Artículo científico
Language:en
Published: Sociedade Brasileira de Física 2006
Subjects:
Online Access:https://www.redalyc.org/articulo.oa?id=46413654021
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author Fortunato S. de Menezes
author_facet Fortunato S. de Menezes
contents Determination of Prediction Intervals for a Future Number of Failures: A Statistical and Monte Carlo Approach Fortunato S. de Menezes Mário J. Ferrua Vivanco Luiz C. Sampaio Física, Astronomía y Matemáticas Sub sampling Weibull Distribution Prediction Intervals Coverage Probability In this work, we present a new procedure, called sub-sampling, to obtain data concerning time of failure in trials without replacement, (NRT). With this data it is possible to determine the prediction interval (PI) for the future number of failures. We also present an alternative way to evaluate the coverage probability of the prediction interval (PI). The results presented show that the method proposed is reliable and can be useful for the statistical analyses of quality control of processes. 2006 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46413654021 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3A Vol.36
format Artículo científico
id redalyc_46413654021
language en
publishDate 2006
publisher Sociedade Brasileira de Física
spellingShingle Determination of Prediction Intervals for a Future Number of Failures: A Statistical and Monte Carlo Approach
Fortunato S. de Menezes
Física, Astronomía y Matemáticas
Sub
sampling
Weibull Distribution
Prediction Intervals
Coverage Probability
Determination of Prediction Intervals for a Future Number of Failures: A Statistical and Monte Carlo Approach Fortunato S. de Menezes Mário J. Ferrua Vivanco Luiz C. Sampaio Física, Astronomía y Matemáticas Sub sampling Weibull Distribution Prediction Intervals Coverage Probability In this work, we present a new procedure, called sub-sampling, to obtain data concerning time of failure in trials without replacement, (NRT). With this data it is possible to determine the prediction interval (PI) for the future number of failures. We also present an alternative way to evaluate the coverage probability of the prediction interval (PI). The results presented show that the method proposed is reliable and can be useful for the statistical analyses of quality control of processes. 2006 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46413654021 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3A Vol.36
title Determination of Prediction Intervals for a Future Number of Failures: A Statistical and Monte Carlo Approach
topic Física, Astronomía y Matemáticas
Sub
sampling
Weibull Distribution
Prediction Intervals
Coverage Probability
url https://www.redalyc.org/articulo.oa?id=46413654021