Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference

In this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator (MLE) and uniformly minimum variance unbiased esti...

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Main Authors: Bushra Khatoon, M. J. S. Khan, Zubdahe Noor
Format: Article
Language:English
Published: Springer 2021-03-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/125953461/view
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author Bushra Khatoon
M. J. S. Khan
Zubdahe Noor
author_facet Bushra Khatoon
M. J. S. Khan
Zubdahe Noor
author_sort Bushra Khatoon
collection DOAJ
description In this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator (MLE) and uniformly minimum variance unbiased estimator (UMVUE) for the parameters of inverted Kumaraswamy distribution based on dgos are deduced. Also, we obtained the results for order statistics and lower record values by putting some specific values of the parameters of dgos. Finally, a simulation study is carried out for illustrative purpose.
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spelling doaj.art-0c0ee5ae74414451b59fc110acecdb0a2022-12-22T02:22:33ZengSpringerJournal of Statistical Theory and Applications (JSTA)2214-17662021-03-0120210.2991/jsta.d.210219.001Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related InferenceBushra KhatoonM. J. S. KhanZubdahe NoorIn this paper, the exact and explicit expressions for single, product, and conditional moments for inverted Kumaraswamy distribution using dual generalized order statistics (dgos) are derived. Further, the expression for maximum likelihood estimator (MLE) and uniformly minimum variance unbiased estimator (UMVUE) for the parameters of inverted Kumaraswamy distribution based on dgos are deduced. Also, we obtained the results for order statistics and lower record values by putting some specific values of the parameters of dgos. Finally, a simulation study is carried out for illustrative purpose.https://www.atlantis-press.com/article/125953461/viewMomentsDual generalized order statisticsMaximum likelihood estimationUniformly minimum variance unbiased estimation
spellingShingle Bushra Khatoon
M. J. S. Khan
Zubdahe Noor
Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
Journal of Statistical Theory and Applications (JSTA)
Moments
Dual generalized order statistics
Maximum likelihood estimation
Uniformly minimum variance unbiased estimation
title Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
title_full Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
title_fullStr Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
title_full_unstemmed Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
title_short Moments of Dual Generalized Order Statistics from Inverted Kumaraswamy Distribution and Related Inference
title_sort moments of dual generalized order statistics from inverted kumaraswamy distribution and related inference
topic Moments
Dual generalized order statistics
Maximum likelihood estimation
Uniformly minimum variance unbiased estimation
url https://www.atlantis-press.com/article/125953461/view
work_keys_str_mv AT bushrakhatoon momentsofdualgeneralizedorderstatisticsfrominvertedkumaraswamydistributionandrelatedinference
AT mjskhan momentsofdualgeneralizedorderstatisticsfrominvertedkumaraswamydistributionandrelatedinference
AT zubdahenoor momentsofdualgeneralizedorderstatisticsfrominvertedkumaraswamydistributionandrelatedinference