Parameter estimation from interval-valued data using the expectation-maximization algorithm

DOI10.1080/00949655.2013.822870zbMath1457.62232OpenAlexW2062144990MaRDI QIDQ5220721

Yi-guo Li, Zhi-Gang Su, Pei-Hong Wang, Ze-Kun Zhou

Publication date: 27 March 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2013.822870

zbMATH Keywords

regression analysisEM algorithmmaximum likelihood estimationinterval-valued datageneralized likelihood function

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Linear regression; mixed models (62J05) Point estimation (62F10) Fuzziness, and linear inference and regression (62J86)

Related Items (6)

A clusterwise nonlinear regression algorithm for interval-valued data ⋮ Modeling random and non-random decision uncertainty in ratings data: a fuzzy beta model ⋮ Robust identification of Wiener time-delay system with expectation-maximization algorithm ⋮ Symbolic interval-valued data analysis for time series based on auto-interval-regressive models ⋮ Monitoring photochemical pollutants based on symbolic interval-valued data analysis ⋮ An exponential-type kernel robust regression model for interval-valued variables

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