Partial linear model, NA random variables, Least-squares estimator, Weighted least-squares estimator, Moment consistency,
AbstractIn this paper, we consider a linear mixed-effects model with measurement errors in both fixe...
The Global COE Program Mathematics-for-Industry Education & Research HubグローバルCOEプログラム「マス・フォア・インダストリ教...
AbstractLet Yn, n≥1, be a sequence of integrable random variables with EYn = xn1β1 + xn2β2 + … + xnp...
This paper studies a heteroscedastic partially linear regression model in which the errors are asymp...
In this article, we propose to estimate the regression parameters in a semiparametric generalized li...
SIGLECNRS RS 17660 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
This note considers a paradox arising in the least-squares estimation of linear regression models in...
Abstract. In this paper, an estimation theory in partial linear model is devel-oped when there is me...
AbstractMultiple linear regression models with non random regressors in continuous time are consider...
In econometrics, models stated as conditional moment restrictions are typically estimated by means o...
AbstractThe strong consistency of least squares estimates in multiple regression models is establish...
This paper develops the asymptotic theory for the estimation of smooth semiparametric generalized es...
In this paper, we consider a linear mixed-effects model with measurement errors in both fixed and ra...
A standard assumption in structural equation models with interaction terms is the normality of all t...
A number of statistics that arise in time series analysis can be represented as the sum of a partial...
AbstractIn this paper, we consider a linear mixed-effects model with measurement errors in both fixe...
The Global COE Program Mathematics-for-Industry Education & Research HubグローバルCOEプログラム「マス・フォア・インダストリ教...
AbstractLet Yn, n≥1, be a sequence of integrable random variables with EYn = xn1β1 + xn2β2 + … + xnp...
This paper studies a heteroscedastic partially linear regression model in which the errors are asymp...
In this article, we propose to estimate the regression parameters in a semiparametric generalized li...
SIGLECNRS RS 17660 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc
This note considers a paradox arising in the least-squares estimation of linear regression models in...
Abstract. In this paper, an estimation theory in partial linear model is devel-oped when there is me...
AbstractMultiple linear regression models with non random regressors in continuous time are consider...
In econometrics, models stated as conditional moment restrictions are typically estimated by means o...
AbstractThe strong consistency of least squares estimates in multiple regression models is establish...
This paper develops the asymptotic theory for the estimation of smooth semiparametric generalized es...
In this paper, we consider a linear mixed-effects model with measurement errors in both fixed and ra...
A standard assumption in structural equation models with interaction terms is the normality of all t...
A number of statistics that arise in time series analysis can be represented as the sum of a partial...
AbstractIn this paper, we consider a linear mixed-effects model with measurement errors in both fixe...
The Global COE Program Mathematics-for-Industry Education & Research HubグローバルCOEプログラム「マス・フォア・インダストリ教...
AbstractLet Yn, n≥1, be a sequence of integrable random variables with EYn = xn1β1 + xn2β2 + … + xnp...