Results 211 to 220 of about 123,209 (248)

Efficiency of the modified jackknifed Liu-type estimator

Statistical Papers, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akdeniz Duran E., Akdeniz F.
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A new Liu-type estimator in linear regression model

Statistical Papers, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Li, Yalian, Yang, Hu
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More on Liu-Type Estimator in Linear Regression

Communications in Statistics - Theory and Methods, 2004
Abstract Recently, Liu [Liu, K. (2003). Using Liu-type estimator to combat collinearity. Commun. Statist. Theory Methods 32:1009–1020] introduced the Liu-type estimator to combat collinearity in linear regression. The Liu-type estimator can be applied in two ways. First, when the effect of collinearity is moderate, the Liu-type estimator can be used as
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Combining the Liu-type estimator and the principal component regression estimator

Statistical Papers, 2013
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Deniz Inan
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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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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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Liu-Type Multinomial Logistic Estimator

Sankhya B, 2018
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Mohamed R. Abonazel, Rasha A. Farghali
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Particle swarm optimization based Liu-type estimator

Communications in Statistics - Theory and Methods, 2016
In this study, a new method for the estimation of the shrinkage and biasing parameters of Liu-type estimator is proposed. Because k is kept constant and d is optimized in Liu’s method, a (k, d) pair is not guaranteed to be the optimal point in terms of the mean square error of the parameters. The optimum (k, d) pair that minimizes the mean square error,
Inan, Deniz, Egrioglu, Erol, Sarica, Busenur, Askin, Oykum Esra, Tez, Mujgan   +4 more
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Influence Diagnostics in Modified Liu-type Estimator

Calcutta Statistical Association Bulletin, 2016
In regression, it is of interest to detect anomalous observations that exert an unduly large influence on the least squares (LS) analysis. Frequently, the existence of influential data is complicated by the presence of collinearity (see, e.g., Walker and Birch  [1] ).
Hadi Emami, Mostafa Emami
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Liu-type Estimator in the Bell Regression Model

2022
This study proposes a new estimator used in the case of multicollinearity problems in the Bell regression model that is an alternative model for the Poissonregression model. The Bell regression model is used to solve the overdispersion problem. Generally, the maximum likelihood estimation (MLE) method is used toestimate the parameters of the Bell ...
IŞILAR, Melike, BULUT, Y. Murat
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