Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application

In this paper, we first derive the exact explicit expressions for the single and product moments of order statistics from the type-II exponentiated log-logistic distribution, and then use these results to compute the means, variances, skewness and kurtosis of rth order statistics. Besides, best line...

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Main Authors: Devendra Kumar, Maneesh Kumar, Sanku Dey
Format: Article
Language:English
Published: Springer 2020-09-01
Series:Journal of Statistical Theory and Applications (JSTA)
Subjects:
Online Access:https://www.atlantis-press.com/article/125944517/view
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author Devendra Kumar
Maneesh Kumar
Sanku Dey
author_facet Devendra Kumar
Maneesh Kumar
Sanku Dey
author_sort Devendra Kumar
collection DOAJ
description In this paper, we first derive the exact explicit expressions for the single and product moments of order statistics from the type-II exponentiated log-logistic distribution, and then use these results to compute the means, variances, skewness and kurtosis of rth order statistics. Besides, best linear unbiased estimators (BLUEs) for the location and scale parameters for the type-II exponentiated log-logistic distribution with known shape parameters are studied. Finally, the results are illustrated with a real data set.
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spelling doaj.art-c41ae5342ebc4f5fa23bf4bd8e49807c2022-12-22T02:10:14ZengSpringerJournal of Statistical Theory and Applications (JSTA)2214-17662020-09-0119310.2991/jsta.d.200825.002Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with ApplicationDevendra KumarManeesh KumarSanku DeyIn this paper, we first derive the exact explicit expressions for the single and product moments of order statistics from the type-II exponentiated log-logistic distribution, and then use these results to compute the means, variances, skewness and kurtosis of rth order statistics. Besides, best linear unbiased estimators (BLUEs) for the location and scale parameters for the type-II exponentiated log-logistic distribution with known shape parameters are studied. Finally, the results are illustrated with a real data set.https://www.atlantis-press.com/article/125944517/viewType-II exponentiated log-logistic distributionMomentsOrder statisticsBest linear unbiased estimators
spellingShingle Devendra Kumar
Maneesh Kumar
Sanku Dey
Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
Journal of Statistical Theory and Applications (JSTA)
Type-II exponentiated log-logistic distribution
Moments
Order statistics
Best linear unbiased estimators
title Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
title_full Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
title_fullStr Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
title_full_unstemmed Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
title_short Inferences for the Type-II Exponentiated Log-Logistic Distribution Based on Order Statistics with Application
title_sort inferences for the type ii exponentiated log logistic distribution based on order statistics with application
topic Type-II exponentiated log-logistic distribution
Moments
Order statistics
Best linear unbiased estimators
url https://www.atlantis-press.com/article/125944517/view
work_keys_str_mv AT devendrakumar inferencesforthetypeiiexponentiatedloglogisticdistributionbasedonorderstatisticswithapplication
AT maneeshkumar inferencesforthetypeiiexponentiatedloglogisticdistributionbasedonorderstatisticswithapplication
AT sankudey inferencesforthetypeiiexponentiatedloglogisticdistributionbasedonorderstatisticswithapplication