Empirical likelihood based inference for semiparametric varying coefficient partially linear models with error-prone linear covariates

Zhensheng Huang; Zhangong Zhou; Rong Jiang; Weimin Qian; Riquan Zhang

doi:10.1016/j.spl.2009.12.002

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Empirical likelihood based inference for semiparametric varying coefficient partially linear models with error-prone linear covariates

Zhensheng Huang Zhangong Zhou Rong Jiang Weimin Qian Riquan Zhang

Year: 2009 Journal: Statistics & Probability Letters Vol: 80 (5-6)Pages: 497-504 Publisher: Elsevier BV

DOI: 10.1016/j.spl.2009.12.002

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Keywords:

Empirical likelihood Mathematics Statistics Estimator Covariate Likelihood function Confidence region Asymptotic distribution Inference Statistic Restricted maximum likelihood Estimating equations Semiparametric model Statistical inference Parametric statistics Econometrics Confidence interval Estimation theory Computer science

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Markov Chains and Monte Carlo Methods

Physical Sciences → Mathematics → Statistics and Probability

Empirical likelihood based inference for semiparametric varying coefficient partially linear models with error-prone linear covariates

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