The T-type estimate of a class of partially non linear models

DOI10.1080/03610926.2013.844253zbMath1338.62153OpenAlexW2263380664MaRDI QIDQ2807746

Tao Hu, Le Le Huang, Heng-Jian Cui

Publication date: 25 May 2016

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2013.844253

zbMATH Keywords

consistencyconvergence rateinfluential functionT-typepartially nonlinear

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) General nonlinear regression (62J02)

Cites Work

• Sieve M-estimation for semiparametric varying-coefficient partially linear regression model
• On asymptotics of t-type regression estimation in multiple linear model
• Profile likelihood inferences on semiparametric varying-coefficient partially linear models
• Estimating the parametric component of nonlinear partial spline model
• Quantile regression in partially linear varying coefficient models
• Convergence rate of sieve estimates
• Longitudinal data analysis using \(t\)-type regression.
• Efficient estimation for the proportional hazards model with interval censoring
• Bivariate tensor-product \(B\)-splines in a partly linear model
• New efficient estimation and variable selection methods for semiparametric varying-coefficient partially linear models
• Root-N-Consistent Semiparametric Regression
• Regression and time series model selection in small samples
• Semiparametric Regression
• Breakdown points of t-type regression estimators
• Semiparametric Regression for the Applied Econometrician

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