An Improved Estimation for Heterogeneous Datasets with Lower Detection Limits regarding Environmental Health

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dc.authoridSayed-Ahmed, Neveen/0009-0008-3412-4489
dc.contributor.authorFeroze, Navid
dc.contributor.authorAkgul, Ali
dc.contributor.authorJawa, Taghreed M.
dc.contributor.authorSayed-Ahmed, Neveen
dc.contributor.authorAli, Rashid
dc.date.accessioned2024-12-24T19:29:49Z
dc.date.available2024-12-24T19:29:49Z
dc.date.issued2022
dc.departmentSiirt Üniversitesi
dc.description.abstractAnalysis of environmental data with lower detection limits (LDL) using mixture models has recently gained importance. However, only a particular type of mixture models under classical estimation methods have been used in the literature. We have proposed the Bayesian analysis for the said data using mixture models. In addition, an optimal mixture distribution to model such data has been explored. The sensitivity of the proposed estimators with respect to LDL, model parameters, hyperparameters, mixing weights, loss functions, sample size, and Bayesian estimation methods has also been proposed. The optimal number of components for the mixture has also been explored. As a practical example, we analyzed two environmental datasets involving LDL. We also compared the proposed estimators with existing estimators, based on different goodness of fit criteria. The results under the proposed estimators were more convincing as compared to those using existing estimators.
dc.description.sponsorshipTaif University Researchers Supporting Project, Taif University, Taif, Saudi Arabia [TURSP-2020/318]; Taif University, Taif, Saudi Arabia
dc.description.sponsorshipThis study was supported by the Taif University Researchers Supporting Project (no. TURSP-2020/318), Taif University, Taif, Saudi Arabia.
dc.identifier.doi10.1155/2022/4414582
dc.identifier.issn1748-670X
dc.identifier.issn1748-6718
dc.identifier.pmid35866039
dc.identifier.scopus2-s2.0-85134790407
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1155/2022/4414582
dc.identifier.urihttps://hdl.handle.net/20.500.12604/7249
dc.identifier.volume2022
dc.identifier.wosWOS:000885759600003
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherHindawi Ltd
dc.relation.ispartofComputational and Mathematical Methods in Medicine
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241222
dc.titleAn Improved Estimation for Heterogeneous Datasets with Lower Detection Limits regarding Environmental Health
dc.typeArticle

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