In this paper, we consider a commonly used partially linear model. We proposed a restricted difference-based ridge estimator for the vector of parameters ß in a partially linear model with one smoothing term when additional linear restrictions on the parameter vector are assumed to hold. The ideas in the paper are illustrated in a real data set and in a Monte Carlo simulation study. © 2013 Copyright Taylor and Francis Group, LLC
This article describes the plreg command, which implements the difference-based algorithm for fittin...
This paper proposes a new estimation of fixed effects in linear mixed models with stochastic restric...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
WOS: 000279486900012The paper introduces a new difference-based ridge regression estimator (beta) ov...
A commonly used semiparametric partial linear model is considered. We propose analyzing this model u...
In this article, we introduce a ridge estimator for the vector of parameters in a semiparametric mod...
Abstract: A multivariate semiparametric partial linear model for both fixed and random design cases ...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
It is known that collinearity among the explanatory variables in generalized linear models (GLMs) in...
A multivariate semiparametric partial linear model for both fixed and random design cases is conside...
In this paper we consider partially linear varying coefficient models. We provide semiparametric eff...
This paper considers several estimators for estimating the stochastic restricted ridge regression es...
Abstract We study asymptotic properties of estimators of parameter and non-parameter in a partially ...
In 2005 Lipovetsky and Conklin proposed an estimator, the two parameter ridge estimator (TRE), as an...
A commonly used semiparametric partial linear model is considered. We propose analyzing this model u...
This article describes the plreg command, which implements the difference-based algorithm for fittin...
This paper proposes a new estimation of fixed effects in linear mixed models with stochastic restric...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...
WOS: 000279486900012The paper introduces a new difference-based ridge regression estimator (beta) ov...
A commonly used semiparametric partial linear model is considered. We propose analyzing this model u...
In this article, we introduce a ridge estimator for the vector of parameters in a semiparametric mod...
Abstract: A multivariate semiparametric partial linear model for both fixed and random design cases ...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
It is known that collinearity among the explanatory variables in generalized linear models (GLMs) in...
A multivariate semiparametric partial linear model for both fixed and random design cases is conside...
In this paper we consider partially linear varying coefficient models. We provide semiparametric eff...
This paper considers several estimators for estimating the stochastic restricted ridge regression es...
Abstract We study asymptotic properties of estimators of parameter and non-parameter in a partially ...
In 2005 Lipovetsky and Conklin proposed an estimator, the two parameter ridge estimator (TRE), as an...
A commonly used semiparametric partial linear model is considered. We propose analyzing this model u...
This article describes the plreg command, which implements the difference-based algorithm for fittin...
This paper proposes a new estimation of fixed effects in linear mixed models with stochastic restric...
Many researchers have studied restricted estimation in the context of exact and stochastic restricti...