Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study

A new asymptotic confidence interval constructed by using a confidence intervalfor the Poisson mean is proposed for the coefficient of variation of the Poisson distribution.The following confidence intervals are considered: McKay’s confidence interval, Vangel’sconfidence interval and the proposed co...

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Main Author: Wararit Panichkitkosolkul
Format: Article
Language:English
Published: Maejo University 2010-01-01
Series:Maejo International Journal of Science and Technology
Subjects:
Online Access:http://www.mijst.mju.ac.th/vol4/1-7.pdf
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author Wararit Panichkitkosolkul
author_facet Wararit Panichkitkosolkul
author_sort Wararit Panichkitkosolkul
collection DOAJ
description A new asymptotic confidence interval constructed by using a confidence intervalfor the Poisson mean is proposed for the coefficient of variation of the Poisson distribution.The following confidence intervals are considered: McKay’s confidence interval, Vangel’sconfidence interval and the proposed confidence interval. Using Monte Carlo simulations,the coverage probabilities and expected lengths of these confidence intervals are compared.Simulation results show that all scenarios of the new asymptotic confidence interval havedesired minimum coverage probabilities of 0.95 and 0.90. In addition, the newly proposedconfidence interval is better than the existing ones in terms of coverage probability andexpected length for all sample sizes and parameter values considered in this paper.
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spelling doaj.art-487373b98c7e47f584c538970c483a2b2022-12-22T02:55:49ZengMaejo UniversityMaejo International Journal of Science and Technology1905-78732010-01-0140117Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation studyWararit PanichkitkosolkulA new asymptotic confidence interval constructed by using a confidence intervalfor the Poisson mean is proposed for the coefficient of variation of the Poisson distribution.The following confidence intervals are considered: McKay’s confidence interval, Vangel’sconfidence interval and the proposed confidence interval. Using Monte Carlo simulations,the coverage probabilities and expected lengths of these confidence intervals are compared.Simulation results show that all scenarios of the new asymptotic confidence interval havedesired minimum coverage probabilities of 0.95 and 0.90. In addition, the newly proposedconfidence interval is better than the existing ones in terms of coverage probability andexpected length for all sample sizes and parameter values considered in this paper.http://www.mijst.mju.ac.th/vol4/1-7.pdfcoefficient of variationconfidence intervalcoverage probabilityexpected lengthPoisson distribution
spellingShingle Wararit Panichkitkosolkul
Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study
Maejo International Journal of Science and Technology
coefficient of variation
confidence interval
coverage probability
expected length
Poisson distribution
title Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study
title_full Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study
title_fullStr Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study
title_full_unstemmed Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study
title_short Asymptotic confidence interval for the coefficient of variation of Poisson distribution: a simulation study
title_sort asymptotic confidence interval for the coefficient of variation of poisson distribution a simulation study
topic coefficient of variation
confidence interval
coverage probability
expected length
Poisson distribution
url http://www.mijst.mju.ac.th/vol4/1-7.pdf
work_keys_str_mv AT wararitpanichkitkosolkul asymptoticconfidenceintervalforthecoefficientofvariationofpoissondistributionasimulationstudy