A new representation method for probability distributions of multimodal and irregular data based on uniform mixture model
type: Item
instance of: scholarly article
title: A new representation method for probability distributions of multimodal and irregular data based on uniform mixture model
zbMATH Open document ID: 1482.62038
author: Jianxiong Gao
author: Zongwen An
author: Xuezong Bai
published in: Annals of Operations Research
publication date: 2022-03-21T00:00:00Z
Mathematics Subject Classification ID: 62E15
Mathematics Subject Classification ID: 62E17
Mathematics Subject Classification ID: 62N05
Mathematics Subject Classification ID: 62P30
zbMATH DE Number: 7494093
zbMATH Keywords: multimodal and irregular data
zbMATH Keywords: uniform mixture model
zbMATH Keywords: randomness
zbMATH Keywords: fatigue crack
zbMATH Keywords: reliability
MaRDI profile type: Publication
full work available at URL: s10479-019-03236-9
OpenAlex ID: W2939901248
cites work: A framework of irregularity enlightenment for data pre-processing in data mining
cites work: A multimodal skewed extension of normal distribution: its properties and applications
cites work: The random field Ising model in a shifted bimodal probability distribution
cites work: A multimodal beta distribution with application to economic data
cites work: Discrete approximations of continuous distributions by maximum entropy
cites work: On estimating uniform distribution via linear Bayes method
cites work: Most unfavorable deductibles and coverage limits for multiple random risks with Archimedean copulas
Wikidata QID: Q128056067
DOI: 10.1007/S10479-019-03236-9
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description: scientific article; zbMATH DE number 7494093