The estimations for parameter of Suja distribution with application
Strong relation between reliability studies and product quality. And reliability analysis deals with failure time of units and there are many well-known lifetime distributions. In this paper, we adopt the statistical inference of one more flexible one parameter distribution called Suja lifetime dist...
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Format: | Article |
Language: | English |
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Elsevier
2024-01-01
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Series: | Alexandria Engineering Journal |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S111001682301058X |
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author | Hanaa Abu-Zinadah Tamadur Alsumairi |
author_facet | Hanaa Abu-Zinadah Tamadur Alsumairi |
author_sort | Hanaa Abu-Zinadah |
collection | DOAJ |
description | Strong relation between reliability studies and product quality. And reliability analysis deals with failure time of units and there are many well-known lifetime distributions. In this paper, we adopt the statistical inference of one more flexible one parameter distribution called Suja lifetime distribution. We primarily take into account four methods to estimate the distributional parameter other than the maximum likelihood estimation. The approximate confidence interval and two bootstrap confidence intervals have also been determined. The point and interval estimators of the Suja’ parameter are assessed and compared throughout the Monte Carlo simulation study. Finally, the Suja distribution is used to modeled and analyzed three real data sets. |
first_indexed | 2024-03-08T11:54:40Z |
format | Article |
id | doaj.art-aac1db5268804ca292c0f190a0577046 |
institution | Directory Open Access Journal |
issn | 1110-0168 |
language | English |
last_indexed | 2024-03-08T11:54:40Z |
publishDate | 2024-01-01 |
publisher | Elsevier |
record_format | Article |
series | Alexandria Engineering Journal |
spelling | doaj.art-aac1db5268804ca292c0f190a05770462024-01-24T05:17:16ZengElsevierAlexandria Engineering Journal1110-01682024-01-0186327334The estimations for parameter of Suja distribution with applicationHanaa Abu-Zinadah0Tamadur Alsumairi1Corresponding author.; University of Jeddah, College of Science, Department of Mathematics and Statistics, Jeddah, Saudi ArabiaUniversity of Jeddah, College of Science, Department of Mathematics and Statistics, Jeddah, Saudi ArabiaStrong relation between reliability studies and product quality. And reliability analysis deals with failure time of units and there are many well-known lifetime distributions. In this paper, we adopt the statistical inference of one more flexible one parameter distribution called Suja lifetime distribution. We primarily take into account four methods to estimate the distributional parameter other than the maximum likelihood estimation. The approximate confidence interval and two bootstrap confidence intervals have also been determined. The point and interval estimators of the Suja’ parameter are assessed and compared throughout the Monte Carlo simulation study. Finally, the Suja distribution is used to modeled and analyzed three real data sets.http://www.sciencedirect.com/science/article/pii/S111001682301058XSuja distributionMaximum likelihood EstimatorsLeast squares estimatorsWeighted least squares estimatorsPercentiles estimatorsBootstrap confidence intervals |
spellingShingle | Hanaa Abu-Zinadah Tamadur Alsumairi The estimations for parameter of Suja distribution with application Alexandria Engineering Journal Suja distribution Maximum likelihood Estimators Least squares estimators Weighted least squares estimators Percentiles estimators Bootstrap confidence intervals |
title | The estimations for parameter of Suja distribution with application |
title_full | The estimations for parameter of Suja distribution with application |
title_fullStr | The estimations for parameter of Suja distribution with application |
title_full_unstemmed | The estimations for parameter of Suja distribution with application |
title_short | The estimations for parameter of Suja distribution with application |
title_sort | estimations for parameter of suja distribution with application |
topic | Suja distribution Maximum likelihood Estimators Least squares estimators Weighted least squares estimators Percentiles estimators Bootstrap confidence intervals |
url | http://www.sciencedirect.com/science/article/pii/S111001682301058X |
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