Difference-based ridge estimator of parameters in partial linear model
- Gülin Tabakan
- Fikri Akdeniz
DOIAbstract
Differencing estimator, Differencing matrix, Multicollinearity, Ridge regression estimator, 62G08, 62J07,
Differencing estimator, Differencing matrix, Multicollinearity, Ridge regression estimator, 62G08, 62J07,
Methods of estimating the ridge parameter in ridge regression analysis are available in the literat...
AbstractHoerl and Kennard (1970a) introduced the ridge regression estimator as an alternative to the...
The problem of estimation of the regression coefficients in a multiple regression model is considere...
WOS: 000279486900012The paper introduces a new difference-based ridge regression estimator (beta) ov...
In this paper, we consider a commonly used partially linear model. We proposed a restricted differen...
The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consiste...
During the past years, different kinds of estimators have been proposed as alternatives to the Ordin...
Least square estimators in multiple linear regressions under multicollinearity become unstable as th...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
Least square method is one of parameter estimation method, it is a method for estimating regression ...
The inefficiency of the ordinary least square estimator for the parameter estimation of a linear reg...
AbstractConsidered the semiparametric regression model li=AiTX+s(ti)+Δi(i=1,2,…,n).Firstly, ridge es...
AbstractRidge regression estimator has been introduced as an alternative to the ordinary least squar...
The Linear regression model is one of the most widely used models in differentfields of study. The m...
In this paper, we introduce the new biased estimator to deal with the problem of multicollinearity. ...
Methods of estimating the ridge parameter in ridge regression analysis are available in the literat...
AbstractHoerl and Kennard (1970a) introduced the ridge regression estimator as an alternative to the...
The problem of estimation of the regression coefficients in a multiple regression model is considere...
WOS: 000279486900012The paper introduces a new difference-based ridge regression estimator (beta) ov...
In this paper, we consider a commonly used partially linear model. We proposed a restricted differen...
The ridge regression-type (Hoerl and Kennard, 1970) and Liu-type (Liu, 1993) estimators are consiste...
During the past years, different kinds of estimators have been proposed as alternatives to the Ordin...
Least square estimators in multiple linear regressions under multicollinearity become unstable as th...
This article is concerned with the problem of multicollinearity in the linear part of a seemingly un...
Least square method is one of parameter estimation method, it is a method for estimating regression ...
The inefficiency of the ordinary least square estimator for the parameter estimation of a linear reg...
AbstractConsidered the semiparametric regression model li=AiTX+s(ti)+Δi(i=1,2,…,n).Firstly, ridge es...
AbstractRidge regression estimator has been introduced as an alternative to the ordinary least squar...
The Linear regression model is one of the most widely used models in differentfields of study. The m...
In this paper, we introduce the new biased estimator to deal with the problem of multicollinearity. ...
Methods of estimating the ridge parameter in ridge regression analysis are available in the literat...
AbstractHoerl and Kennard (1970a) introduced the ridge regression estimator as an alternative to the...
The problem of estimation of the regression coefficients in a multiple regression model is considere...
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