We consider the partially linear model relating a response Y to predictors XT with mean function X T gT when the T s are measured with additive error We derive an estimator of by modication locallikelihood method The resulting estimator of is shown to be asymptotically norma
Summary. Motivated by an analysis of a real data set in ecology, we consider a class of partially no...
A partially linear model is considered when the responses are missing at random. Imputation, semipar...
In this paper we are concerned with the regression model y(i)=X-i beta+g(t(i))+ V-i (1 <= i <= n) un...
We consider the partially linear model relating a response Y to predictors (X,T) with mean function ...
In this paper, a partially linear multivariate model with error in the explanatory variable of the n...
In many applications of regression analysis, there are covariates that are measured with errors. Mea...
We consider the partially linear model relating a response Y to predictors (X; T ) with mean functio...
Abstract. In this paper, an estimation theory in partial linear model is devel-oped when there is me...
Let (X, B, Y) denote a random vector such that B and Y are real-valued, and X ∈ R2. Local linear est...
AbstractThis paper studies the estimation of a varying-coefficient partially linear regression model...
AbstractThis paper is concerned with the estimating problem of the partially linear regression model...
In this paper, we consider the estimation and goodness-of-fit test of a semiparametric varying-coeff...
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a cl...
We propose a new method for estimating additive nonparametric regression models based on taking the ...
This article focuses on variable selection for partially linear models when the covariates are measu...
Summary. Motivated by an analysis of a real data set in ecology, we consider a class of partially no...
A partially linear model is considered when the responses are missing at random. Imputation, semipar...
In this paper we are concerned with the regression model y(i)=X-i beta+g(t(i))+ V-i (1 <= i <= n) un...
We consider the partially linear model relating a response Y to predictors (X,T) with mean function ...
In this paper, a partially linear multivariate model with error in the explanatory variable of the n...
In many applications of regression analysis, there are covariates that are measured with errors. Mea...
We consider the partially linear model relating a response Y to predictors (X; T ) with mean functio...
Abstract. In this paper, an estimation theory in partial linear model is devel-oped when there is me...
Let (X, B, Y) denote a random vector such that B and Y are real-valued, and X ∈ R2. Local linear est...
AbstractThis paper studies the estimation of a varying-coefficient partially linear regression model...
AbstractThis paper is concerned with the estimating problem of the partially linear regression model...
In this paper, we consider the estimation and goodness-of-fit test of a semiparametric varying-coeff...
We provide easy to verify sufficient conditions for the consistency and asymptotic normality of a cl...
We propose a new method for estimating additive nonparametric regression models based on taking the ...
This article focuses on variable selection for partially linear models when the covariates are measu...
Summary. Motivated by an analysis of a real data set in ecology, we consider a class of partially no...
A partially linear model is considered when the responses are missing at random. Imputation, semipar...
In this paper we are concerned with the regression model y(i)=X-i beta+g(t(i))+ V-i (1 <= i <= n) un...
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