Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
type: Item
instance of: scholarly article
title: Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution
author: Francisco H. C. de Alencar
author: Christian E. Galarza
author: Larissa A. Matos
author: V. H. Lachos
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2022-12-09T00:00:00Z
full work available at URL: https://arxiv.org/abs/2009.10826
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 7630551
zbMATH Keywords: censored data
zbMATH Keywords: detection limit
zbMATH Keywords: EM-type algorithms
zbMATH Keywords: finite mixture models
zbMATH Keywords: multivariate skew-normal distribution
zbMATH Keywords: truncated distributions
describes a project that uses: CensMixReg
describes a project that uses: MBCbook
describes a project that uses: CensMFM
describes a project that uses: mixsmsn
describes a project that uses: MomTrunc
MaRDI profile type: Publication
OpenAlex ID: W3174556605
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DOI: 10.1007/S11634-021-00448-5
description: scientific article; zbMATH DE number 7630551