Statistical Distributions for Damage Modelling: A Retrospect

This paper reviews works on statistical damage modelling. Available literature shows that this method is flexible for modelling under-reporting and over-reporting of income, optimal replacement, accelerated test models, man-power analysis, rock compression, inventory analysis, power distribution et...

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Main Authors: Lishamol Tomy, Amritha K Madhav, K. V. Jayamol
Format: Article
Language:English
Published: Austrian Statistical Society 2024-01-01
Series:Austrian Journal of Statistics
Online Access:https://www.ajs.or.at/index.php/ajs/article/view/1567
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author Lishamol Tomy
Amritha K Madhav
K. V. Jayamol
author_facet Lishamol Tomy
Amritha K Madhav
K. V. Jayamol
author_sort Lishamol Tomy
collection DOAJ
description This paper reviews works on statistical damage modelling. Available literature shows that this method is flexible for modelling under-reporting and over-reporting of income, optimal replacement, accelerated test models, man-power analysis, rock compression, inventory analysis, power distribution etc . Additive and multiplicative damage models are discussed and additional literature on multivariate damage modelling are also provided. Characterizations of various distributions are discussed.
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spelling doaj.art-5e3b3dbdcb614b23a989a9e51da39aaa2024-01-18T20:26:45ZengAustrian Statistical SocietyAustrian Journal of Statistics1026-597X2024-01-0153110.17713/ajs.v53i1.1567Statistical Distributions for Damage Modelling: A RetrospectLishamol Tomy0Amritha K Madhav1K. V. Jayamol2Associate ProfessorResearch Scholar , Nirmala College muvattupuzhaAssociate Professor This paper reviews works on statistical damage modelling. Available literature shows that this method is flexible for modelling under-reporting and over-reporting of income, optimal replacement, accelerated test models, man-power analysis, rock compression, inventory analysis, power distribution etc . Additive and multiplicative damage models are discussed and additional literature on multivariate damage modelling are also provided. Characterizations of various distributions are discussed. https://www.ajs.or.at/index.php/ajs/article/view/1567
spellingShingle Lishamol Tomy
Amritha K Madhav
K. V. Jayamol
Statistical Distributions for Damage Modelling: A Retrospect
Austrian Journal of Statistics
title Statistical Distributions for Damage Modelling: A Retrospect
title_full Statistical Distributions for Damage Modelling: A Retrospect
title_fullStr Statistical Distributions for Damage Modelling: A Retrospect
title_full_unstemmed Statistical Distributions for Damage Modelling: A Retrospect
title_short Statistical Distributions for Damage Modelling: A Retrospect
title_sort statistical distributions for damage modelling a retrospect
url https://www.ajs.or.at/index.php/ajs/article/view/1567
work_keys_str_mv AT lishamoltomy statisticaldistributionsfordamagemodellingaretrospect
AT amrithakmadhav statisticaldistributionsfordamagemodellingaretrospect
AT kvjayamol statisticaldistributionsfordamagemodellingaretrospect