In this paper, ridge and non-ridge type estimators and their robust forms are defined in the semiparametric regression model when the errors are dependent ...
Abstract. In this paper, ridge and non-ridge type estimators and their robust forms are defined in the semiparametric regression model when the errors are ...
In this paper, ridge and non-ridge type estimators and their robust forms are defined in the semiparametric regression model when the errors are dependent ...
TL;DR: In this paper, the authors developed an improved ridge approach for the genome regression modeling when multicollinearity exists in the data set with ...
In this paper we propose a family of robust ridge estimators for the censored semiparametric regression models.
Missing: restricted | Show results with:restricted
4 days ago · This paper, utilized the Restricted Partially Additive Regression Model to analyze air quality data in Baghdad governorate, with a focus on ...
Multivariate Analysis, 136, 56–74. Roozbeh, M. (2016). Robust ridge estimator in restricted semiparametric regression models. Journal of Multivariate ...
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This work introduces a restricted ridge estimator in the logistic regression model, when some linear restrictions are also present and this estimator will ...
Li (2000) suggested an estimation of the additive partially linear regression model using a generalized sequential method based on boundary-adaptive splines, ...
This paper studies robust and optimal estimation of the slope coefficients in a partially linear instrumental variables model with nonparametric partial ...