Estimation of partial linear error-in-variables models for \(\rho ^{ - }\)-mixing dependence data

DOI10.1007/s10910-006-9204-8zbMath1135.62030OpenAlexW2008837804MaRDI QIDQ926943

Guang-Hui Cai

Publication date: 21 May 2008

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10910-006-9204-8

zbMATH Keywords

strong consistencypartial linear modelnegatively associatedvalidation data\(\rho^{*}\)-mixing

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) General nonlinear regression (62J02)

Cites Work

• Semiparametric quasilikelihood and variance function estimation in measurement error models
• Estimation of partial linear error-in-variables models with validation data
• Semi-parametric estimation in the nonlinear structural errors-in-variables model
• Maximal inequalities and an invariance principle for a class of weakly dependent random variables
• Classical and quantum study of the motion of a particle in a gravitational field
• On errors-in-variables for binary regression models
• Inference using surrogate outcome data and a validation sample
• A Semiparametric Correction for Attenuation
• Semiparametric estimation of nonlinear errors-in-variables models with validation study
• A weak convergence for negatively associated fields
• Unnamed Item

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