WOS: A1995RG21200008In this paper, we derive the almost unbiased generalized Liu estimator and examine an exact unbiased estimator of the bias and mean squared error of the feasible generalized Liu estimator. We compare the almost unbiased generalized Liu estimator (AUGLE) with the generalized Liu estimator (GLE) and with the ordinary least squares estimator (OLSE)
This note presents a set of conditions on the defining functions of regression parameter estimators o...
In this paper we consider the semiparametric regression model, y=Xß+f+?. Recently, Hu [11] proposed ...
In this article, we proposed a new estimator namely, modified jackknifed generalized Liu-type estima...
This paper introduces a new biased estimator, namely, almost unbiased Liu estimator (AULE) of β...
Abstract. This paper introduces a new biased estimator, namely, almost unbiased Liu estimator (AULE)...
Multicollinearity among the explanatory variables seriously effects the maximum likelihood estimator...
In the presence of collinearity certain biased estimation procedures like ridge regression, generali...
One of the problems with the Liu estimator is the appropriate value for the unknown biasing paramete...
Multiple linear interferences are a fundamental obstacle in many standard models. This problem appea...
WOS: 000398114600022This article is concerned with the parameter estimation in partly linear regress...
In this study, we introduce iterative restricted Liu estimator to combat multicollinearity in genera...
Ghapani and Babdi [1] proposed a mixed Liu estimator in linear measurement error model with stochast...
In regression analysis, ridge regression estimators and Liu type estimators are often used to overco...
In regression analysis, ridge regression estimators and Liu type estimators are often used to overco...
To deal with multicollinearity problem, the biased estimators with two biasing parameters have recen...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
In this paper we consider the semiparametric regression model, y=Xß+f+?. Recently, Hu [11] proposed ...
In this article, we proposed a new estimator namely, modified jackknifed generalized Liu-type estima...
This paper introduces a new biased estimator, namely, almost unbiased Liu estimator (AULE) of β...
Abstract. This paper introduces a new biased estimator, namely, almost unbiased Liu estimator (AULE)...
Multicollinearity among the explanatory variables seriously effects the maximum likelihood estimator...
In the presence of collinearity certain biased estimation procedures like ridge regression, generali...
One of the problems with the Liu estimator is the appropriate value for the unknown biasing paramete...
Multiple linear interferences are a fundamental obstacle in many standard models. This problem appea...
WOS: 000398114600022This article is concerned with the parameter estimation in partly linear regress...
In this study, we introduce iterative restricted Liu estimator to combat multicollinearity in genera...
Ghapani and Babdi [1] proposed a mixed Liu estimator in linear measurement error model with stochast...
In regression analysis, ridge regression estimators and Liu type estimators are often used to overco...
In regression analysis, ridge regression estimators and Liu type estimators are often used to overco...
To deal with multicollinearity problem, the biased estimators with two biasing parameters have recen...
This note presents a set of conditions on the defining functions of regression parameter estimators o...
In this paper we consider the semiparametric regression model, y=Xß+f+?. Recently, Hu [11] proposed ...
In this article, we proposed a new estimator namely, modified jackknifed generalized Liu-type estima...