On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions

The purpose of the present paper is to deal with sequential estimation of the parameter θ in a Lindley distribution. A fixed-accuracy confidence interval for θ with a preassigned confidence coefficient is developed. It is established that, no fixed sample size procedure can solve the estimation pro...

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Main Authors: Sudeep Bapat, Neeraj Joshi, Ashish Shukla
Format: Article
Language:English
Published: Austrian Statistical Society 2023-03-01
Series:Austrian Journal of Statistics
Online Access:https://ajs.or.at/index.php/ajs/article/view/1406
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author Sudeep Bapat
Neeraj Joshi
Ashish Shukla
author_facet Sudeep Bapat
Neeraj Joshi
Ashish Shukla
author_sort Sudeep Bapat
collection DOAJ
description The purpose of the present paper is to deal with sequential estimation of the parameter θ in a Lindley distribution. A fixed-accuracy confidence interval for θ with a preassigned confidence coefficient is developed. It is established that, no fixed sample size procedure can solve the estimation problem and hence a purely sequential methodology is proposed to deal with the situation. The first-order asymptotic efficiency and consistency properties associated with our purely sequential strategy are derived. Similar estimation strategies are also outlined for a few other extensions of the Lindley distribution. Extensive simulation analysis is carried out to validate the theoretical findings. We also provide a real data example, where we estimate the parameter related to the “initial mass function" for a particular cluster of stars.
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spelling doaj.art-21b21cf0166342f6a695523d6ebe659f2023-04-10T15:36:48ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2023-03-0152210.17713/ajs.v52i2.1406On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its ExtensionsSudeep Bapat0Neeraj Joshi1Ashish Shukla2Indian Institute of Management IndoreUniversity of DelhiRamanujan College, University of Delhi The purpose of the present paper is to deal with sequential estimation of the parameter θ in a Lindley distribution. A fixed-accuracy confidence interval for θ with a preassigned confidence coefficient is developed. It is established that, no fixed sample size procedure can solve the estimation problem and hence a purely sequential methodology is proposed to deal with the situation. The first-order asymptotic efficiency and consistency properties associated with our purely sequential strategy are derived. Similar estimation strategies are also outlined for a few other extensions of the Lindley distribution. Extensive simulation analysis is carried out to validate the theoretical findings. We also provide a real data example, where we estimate the parameter related to the “initial mass function" for a particular cluster of stars. https://ajs.or.at/index.php/ajs/article/view/1406
spellingShingle Sudeep Bapat
Neeraj Joshi
Ashish Shukla
On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
Austrian Journal of Statistics
title On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
title_full On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
title_fullStr On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
title_full_unstemmed On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
title_short On Fixed-Accuracy Confidence Intervals for the Parameters of Lindley Distribution and Its Extensions
title_sort on fixed accuracy confidence intervals for the parameters of lindley distribution and its extensions
url https://ajs.or.at/index.php/ajs/article/view/1406
work_keys_str_mv AT sudeepbapat onfixedaccuracyconfidenceintervalsfortheparametersoflindleydistributionanditsextensions
AT neerajjoshi onfixedaccuracyconfidenceintervalsfortheparametersoflindleydistributionanditsextensions
AT ashishshukla onfixedaccuracyconfidenceintervalsfortheparametersoflindleydistributionanditsextensions