Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model

A novel two-parameter continuous lifespan model is developed, based on a truncated Fréchet produced family of distributions known as the truncated Fréchet inverted Lindley distribution. It includes a thorough discussion of statistical features such as the quantile function, moments, order statistics...

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Main Author: Mashail M. AL Sobhi
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Function Spaces
Online Access:http://dx.doi.org/10.1155/2022/5256828
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author Mashail M. AL Sobhi
author_facet Mashail M. AL Sobhi
author_sort Mashail M. AL Sobhi
collection DOAJ
description A novel two-parameter continuous lifespan model is developed, based on a truncated Fréchet produced family of distributions known as the truncated Fréchet inverted Lindley distribution. It includes a thorough discussion of statistical features such as the quantile function, moments, order statistics, incomplete moments, and Lorenz and Bonferroni curves. The greatest likelihood approach for estimating population parameters is described. Finally, one real-world data set to application is utilized to demonstrate the new distribution’s utility. The data represent the tensile strength, measured in GPa, of 69 carbon fibers tested under tension at gauge lengths of 20 mm.
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institution Kabale University
issn 2314-8888
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publishDate 2022-01-01
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series Journal of Function Spaces
spelling doaj-art-996148bcf6b24abf971a21160d15b8c02025-02-03T01:11:57ZengWileyJournal of Function Spaces2314-88882022-01-01202210.1155/2022/5256828Modelling to Engineering Data: Using a New Two-Parameter Lifetime ModelMashail M. AL Sobhi0Department of MathematicsA novel two-parameter continuous lifespan model is developed, based on a truncated Fréchet produced family of distributions known as the truncated Fréchet inverted Lindley distribution. It includes a thorough discussion of statistical features such as the quantile function, moments, order statistics, incomplete moments, and Lorenz and Bonferroni curves. The greatest likelihood approach for estimating population parameters is described. Finally, one real-world data set to application is utilized to demonstrate the new distribution’s utility. The data represent the tensile strength, measured in GPa, of 69 carbon fibers tested under tension at gauge lengths of 20 mm.http://dx.doi.org/10.1155/2022/5256828
spellingShingle Mashail M. AL Sobhi
Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model
Journal of Function Spaces
title Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model
title_full Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model
title_fullStr Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model
title_full_unstemmed Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model
title_short Modelling to Engineering Data: Using a New Two-Parameter Lifetime Model
title_sort modelling to engineering data using a new two parameter lifetime model
url http://dx.doi.org/10.1155/2022/5256828
work_keys_str_mv AT mashailmalsobhi modellingtoengineeringdatausinganewtwoparameterlifetimemodel