Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure

We consider the purely sequential procedure for estimating the scale parameter of a gamma distribution with known shape parameter, when the risk function is bounded by the known preassigned number. In this paper, we provide asymptotic formulas for the expectation of the total sample size. Also, we p...

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Main Authors: Eisa Mahmoudi, Ghahraman Roughani, Ashkan Khalifeh
Format: Article
Language:English
Published: Springer
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/125916708/view
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author Eisa Mahmoudi
Ghahraman Roughani
Ashkan Khalifeh
author_facet Eisa Mahmoudi
Ghahraman Roughani
Ashkan Khalifeh
author_sort Eisa Mahmoudi
collection DOAJ
description We consider the purely sequential procedure for estimating the scale parameter of a gamma distribution with known shape parameter, when the risk function is bounded by the known preassigned number. In this paper, we provide asymptotic formulas for the expectation of the total sample size. Also, we propose how to adjust the stopping variable so that the risk is uniformly bounded by a known preassigned number. In the end, the performances of the proposed methodology are investigated with the help of simulations and also by using a real data set.
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spelling doaj.art-f6afd24f4a41416197d0ad39f272418e2022-12-22T01:11:12ZengSpringerJournal of Statistical Theory and Applications (JSTA)2214-176610.2991/jsta.d.190818.005Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling ProcedureEisa MahmoudiGhahraman RoughaniAshkan KhalifehWe consider the purely sequential procedure for estimating the scale parameter of a gamma distribution with known shape parameter, when the risk function is bounded by the known preassigned number. In this paper, we provide asymptotic formulas for the expectation of the total sample size. Also, we propose how to adjust the stopping variable so that the risk is uniformly bounded by a known preassigned number. In the end, the performances of the proposed methodology are investigated with the help of simulations and also by using a real data set.https://www.atlantis-press.com/article/125916708/viewBounded risk estimationGamma distributionSequential estimationStopping variableTwo-stage samplingPurely sequential procedure
spellingShingle Eisa Mahmoudi
Ghahraman Roughani
Ashkan Khalifeh
Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
Journal of Statistical Theory and Applications (JSTA)
Bounded risk estimation
Gamma distribution
Sequential estimation
Stopping variable
Two-stage sampling
Purely sequential procedure
title Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
title_full Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
title_fullStr Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
title_full_unstemmed Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
title_short Bounded Risk Estimation of the Gamma Scale Parameter in a Purely Sequential Sampling Procedure
title_sort bounded risk estimation of the gamma scale parameter in a purely sequential sampling procedure
topic Bounded risk estimation
Gamma distribution
Sequential estimation
Stopping variable
Two-stage sampling
Purely sequential procedure
url https://www.atlantis-press.com/article/125916708/view
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AT ghahramanroughani boundedriskestimationofthegammascaleparameterinapurelysequentialsamplingprocedure
AT ashkankhalifeh boundedriskestimationofthegammascaleparameterinapurelysequentialsamplingprocedure