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Liu-type estimator in semiparametric regression models

Journal of Statistical Computation and Simulation, 2010
In this paper, we introduced a Liu-type estimator for the vector of parameters in a semiparametric regression model. We also obtained the semiparametric restricted Liu-type estimator for the parametric component in a semiparametric regression model.
Esra Akdeniz
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Robust Liu‐type estimator based on GM estimator

Statistica Neerlandica, 2023
Ordinary Least Squares Estimator (OLSE) is widely used to estimate parameters in regression analysis. In practice, the assumptions of regression analysis are often not met. The most common problems that break these assumptions are outliers and multicollinearity problems. As a result of these problems, OLSE loses efficiency.
Melike Işılar, Y. Murat Bulut
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Bootstrap Liu estimators for Poisson regression model

Communications in Statistics - Simulation and Computation, 2021
The Liu estimator is used to get precise estimatesby introducing bootstrap technique to reduce the problem of multicollinearity in Poisson regression model.
Ismat Perveen, Muhammad Suhail
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Inverse Gaussian Liu-type estimator

Communications in Statistics - Simulation and Computation, 2021
The inverse Gaussian regression (IGR) model parameters are generally estimated using the maximum likelihood (ML) estimation method.
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Applications of resampling methods in multivariate Liu estimator

Computational Statistics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shima Pirmohammadi, Hamid Bidram
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A new Liu-type estimator for the gamma regression model

Communications in Statistics - Simulation and Computation, 2023
In many real-world problems, there are situations where the dependent variable may have a Gamma distribution. The Gamma Regression Models (GRMs) are preferred when the response variable assumes a Gamma distribution with a given set of independent ...
Esra Ertan, Ali Erkoç, Kadri Ulas Akay
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Liu-type estimator in Conway–Maxwell–Poisson regression model: theory, simulation and application

Statistics
Recently, many authors have been motivated to propose a new regression estimator in the case of multicollinearity. The most well-known of these estimators are ridge, Liu and Liu-type estimators.
Caner Tanis, Yasin Asar
exaly   +2 more sources

A state estimation of Liu equations

AIP Conference Proceedings, 2015
This paper is concerned with state estimation problems for so-called Liu equations. These equations are counterparts of well-known Ito ones and they were introduced by B. Liu under elaboration of his uncertain theory. The Liu equations may be solved backward and they represent a more convenient object for the state estimation problem solution ...
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Liu and Ridge Estimators-A Comparison

Communications in Statistics - Theory and Methods, 2012
Liu (1993) proposed an estimator that is similar in form but different from the ridge regression estimator of Hoerl and Kennard. More recently, Ozkale and Kaciranlar (2007) proposed a two-parameter variation of the Liu estimator. This new estimator has a number of interesting properties.
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Modified almost unbiased Liu estimator in logistic regression

Communications in Statistics - Simulation and Computation, 2019
This paper focuses on introducing a new parameter estimator to the logistic regression model when the multicollinearity presents.
Nagarajah Varathan, Pushpakanthie Wijekoon   +1 more
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