2 citations · 7 across the 9 of their papers we have counts for
5 papers · 1 filter
Liu Estimator in the Multinomial Logistic Regression Model
Yasin Asar, Murat Erişoğlu
This paper considers the Liu estimator in the multinomial logistic regression model. We propose some different estimators of the biasing parameter. The mean square error (MSE) is c…
LLASSO: A linear unified LASSO for multicollinear situations
M. Arashi, Y. Asar, B. Yuzbasi
We propose a rescaled LASSO, by premultipying the LASSO with a matrix term, namely linear unified LASSO (LLASSO) for multicollinear situations. Our numerical study has shown that t…
On the stochastic restricted Liu-type maximum likelihood estimator in logistic regression
Jibo Wu, Yasin Asar
In order to overcome multicollinearity, we propose a stochastic restricted Liu-type max- imum likelihood estimator by incorporating Liu-type maximum likelihood estimator (Inan and…
Efficiency of the principal component Liu-type estimator in logistic regression model
Jibo Wu, Yasin Asar
In this paper we propose a principal component Liu-type logistic estimator by combining the principal component logistic regression estimator and Liu-type logistic estimator to ove…
Liu-type Negative Binomial Regression: A Comparison of Recent Estimators and Applications
Yasin Asar
This paper introduces a new biased estimator for the negative binomial regression model that is a generalization of Liu-type estimator proposed for the linear model in [12]. Since…