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Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions

Statistics and Computing(2025)10.1007/s11222-025-10596-9Source: DataRank Database

Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions is a research paper published in Statistics and Computing (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (5 grants)Impact (FWCI 1.22)OA: hybridTopics (24)IDs (PubMed, PMC, OpenAlex)

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Context only (not used in score)

Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Misung Yi ORCID,Amy R. Peck ORCID,Hallgeir Rui ORCID,Inna Chervoneva ORCID,Tingting Zhan ORCID

Live enrichment

PubMed:40099197 PMC:PMC11910465 OpenAlex:https://openalex.org/W4408473831

National Institutes of Health

Grant: CA222847

NCI NIH HHS

Grant: R01 CA267549

NCI NIH HHS

Grant: R01 CA222847

National Institutes of Health

Grant: 5R01CA222847-05

Statistical Methods For Quantitative Immunohistochemistry Biomarkers

National Institutes of Health

Grant: 7R01CA267549-02

WNT pathway-driven anti-estrogen therapy resistance in breast cancer

FWCI

1.22

Citation Percentile

0.8%

Citation Trend

2026

hybridLicense: cc-by

journalhttps://link.springer.com/content/pdf/10.1007/s11222-025-10596-9.pdf

publisherhttps://link.springer.com/content/pdf/10.1007/s11222-025-10596-9.pdf

publisherhttps://link.springer.com/article/10.1007/s11222-025-10596-9/fulltext.html

journalhttps://doi.org/10.1007/s11222-025-10596-9

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40099197

Fields of Study

Bayesian Methods and Mixture ModelsStatistical Methods and InferenceStatistical Methods and Bayesian Inference0101 mathematics01 natural sciences

Keywords

Mixture modelMathematicsKurtosisMahalanobis distanceStatisticsEstimatorQuantileSkewnessPopulationFinite MixturesIndirect EstimatorCellular Protein LevelQuantile Least Mahalanobis DistanceTukey’s G- &-H DistributionOriginal PaperClassification and discrimination; cluster analysis (statistical aspects)Computational methods for problems pertaining to statisticsTukey's \(g\)-\&-\(h\) distributionApplications of statistics to biology and medical sciences; meta analysis