Integrated cumulative error (ICE) distance for non-nested mixture model selection: application to extreme values in metal fatigue problems
type: Item
instance of: scholarly article
title: Integrated cumulative error (ICE) distance for non-nested mixture model selection: application to extreme values in metal fatigue problems
zbMATH Open document ID: 1308.62134
DOI: 10.1214/15-EJS985
author: Jagan M. Padbidri
author: P. Vandekerkhove
author: David L. Mcdowell
published in: Electronic Journal of Statistics
publication date: 2015-01-27T00:00:00Z
full work available at URL: https://projecteuclid.org/euclid.ejs/1421936897
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62F10
Mathematics Subject Classification ID: 62F12
Mathematics Subject Classification ID: 62E10
zbMATH DE Number: 6391378
zbMATH Keywords: EM algorithm
zbMATH Keywords: extreme value
zbMATH Keywords: Gumbel
zbMATH Keywords: mixture
zbMATH Keywords: model selection
zbMATH Keywords: metal fatigue
zbMATH Keywords: quasi-maximum likelihood
zbMATH Keywords: probability distance
describes a project that uses: ABAQUS
MaRDI profile type: Publication
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OpenAlex ID: W2085928566
description: scientific article; zbMATH DE number 6391378