On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics

Abstract Daghistani et al. (Pak J Stat Oper Res 989–997, 2019) introduced and investigated the properties of the new inverse Kumaraswamy distribution. This distribution has numerous applications in various fields, including life testing, biology, and medicine. Also, it is used in reliability and sur...

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Main Author: Areej M. AL-Zaydi
Format: Article
Language:English
Published: Springer 2024-11-01
Series:Journal of Statistical Theory and Applications (JSTA)
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Online Access:https://doi.org/10.1007/s44199-024-00099-3
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author Areej M. AL-Zaydi
author_facet Areej M. AL-Zaydi
author_sort Areej M. AL-Zaydi
collection DOAJ
description Abstract Daghistani et al. (Pak J Stat Oper Res 989–997, 2019) introduced and investigated the properties of the new inverse Kumaraswamy distribution. This distribution has numerous applications in various fields, including life testing, biology, and medicine. Also, it is used in reliability and survival analysis. The progressively Type-II censored sampling method is a versatile censoring technique since it helps the researcher to save cost and time of the life testing experiments, and it is very beneficial in reliability studies. This article provides explicit expressions and recurrence relations between the single and product moments of progressively Type-II right censored order statistics from the inverse Kumaraswamy distribution. Similar results for usual order statistics are also shown as special cases. The means and variances of progressively Type-II right censored order statistics for various parameter values are then calculated using these findings. The best linear unbiased estimators for the location and scale parameters of the inverse Kumaraswamy distribution are also investigated. Further, based on the observed progressively Type-II right censored order statistics, we discuss how to obtain the best linear unbiased predictors for future observations. Finally, we consider a real data set as an application of the estimation and prediction methods described in this article.
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spelling doaj-art-9cd155e286b542eabce0146de5bd697a2025-08-20T02:39:40ZengSpringerJournal of Statistical Theory and Applications (JSTA)2214-17662024-11-0123450052410.1007/s44199-024-00099-3On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order StatisticsAreej M. AL-Zaydi0Department of Mathematics and Statistics, Faculty of Science, Taif UniversityAbstract Daghistani et al. (Pak J Stat Oper Res 989–997, 2019) introduced and investigated the properties of the new inverse Kumaraswamy distribution. This distribution has numerous applications in various fields, including life testing, biology, and medicine. Also, it is used in reliability and survival analysis. The progressively Type-II censored sampling method is a versatile censoring technique since it helps the researcher to save cost and time of the life testing experiments, and it is very beneficial in reliability studies. This article provides explicit expressions and recurrence relations between the single and product moments of progressively Type-II right censored order statistics from the inverse Kumaraswamy distribution. Similar results for usual order statistics are also shown as special cases. The means and variances of progressively Type-II right censored order statistics for various parameter values are then calculated using these findings. The best linear unbiased estimators for the location and scale parameters of the inverse Kumaraswamy distribution are also investigated. Further, based on the observed progressively Type-II right censored order statistics, we discuss how to obtain the best linear unbiased predictors for future observations. Finally, we consider a real data set as an application of the estimation and prediction methods described in this article.https://doi.org/10.1007/s44199-024-00099-3Best linear unbiased estimatorsBest linear unbiased predictorsInverse Kumaraswamy distributionProduct momentsRecurrence relationsSingle moments
spellingShingle Areej M. AL-Zaydi
On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics
Journal of Statistical Theory and Applications (JSTA)
Best linear unbiased estimators
Best linear unbiased predictors
Inverse Kumaraswamy distribution
Product moments
Recurrence relations
Single moments
title On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics
title_full On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics
title_fullStr On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics
title_full_unstemmed On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics
title_short On Moments of Inverse Kumaraswamy Distribution Based on Progressive Type-II Censored Order Statistics
title_sort on moments of inverse kumaraswamy distribution based on progressive type ii censored order statistics
topic Best linear unbiased estimators
Best linear unbiased predictors
Inverse Kumaraswamy distribution
Product moments
Recurrence relations
Single moments
url https://doi.org/10.1007/s44199-024-00099-3
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