Random weighting \(M\)-estimation for linear errors-in-variables models

DOI10.1016/j.jkss.2012.03.001zbMath1296.62183OpenAlexW2076018921MaRDI QIDQ457625

Rong Jiang, Xiaohan Yang, Wei-Min Qian

Publication date: 29 September 2014

Published in: Journal of the Korean Statistical Society (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jkss.2012.03.001

zbMATH Keywords

errors-in-variables\(M\)-estimation\(M\)-testlinear hypothesisrandom weighting \(M\)-testrandomly weighting method

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Parametric tolerance and confidence regions (62F25) Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03) Asymptotic properties of parametric tests (62F05)

Related Items (10)

Multivariate measurement error models based on Student-t distribution under censored responses ⋮ Random weighting-based quantile estimation via importance resampling ⋮ Robust and efficient direction identification for groupwise additive multiple-index models and its applications ⋮ Random weighting method for M-test in linear model with dependent errors ⋮ Weak convergence for random weighting estimation of smoothed quantile processes ⋮ Random weighting estimation of sampling distributions via importance resampling ⋮ Random weighting estimation of stable exponent ⋮ Testing in linear composite quantile regression models ⋮ Two step composite quantile regression for single-index models ⋮ Composite quantile regression estimation of linear error-in-variable models using instrumental variables

Cites Work

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