A variance shift model for detection of outliers in the linear measurement error model

DOI10.1155/2014/396875zbMath1472.62070OpenAlexW2091230523WikidataQ59037320 ScholiaQ59037320MaRDI QIDQ1724031

Xianqiang Yang

Publication date: 14 February 2019

Published in: Abstract and Applied Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/396875

zbMATH Keywords

detection of outliers

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Point estimation (62F10) Statistics of extreme values; tail inference (62G32) General nonlinear regression (62J02) Large deviations (60F10)

Related Items (1)

An application of Dirichlet process in clustering subjects via variance shift models: A course-evaluation study

Uses Software

• alr3

Cites Work

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