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Liu-Type Multinomial Logistic Estimator
Sankhya B, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohamed R Abonazel +2 more
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More on Liu-Type Estimator in Linear Regression
Communications in Statistics - Theory and Methods, 2004Abstract 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
Kejian Liu
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Using Liu-Type Estimator to Combat Collinearity
Communications in Statistics - Theory and Methods, 2003Linear regression model and least squares method are widely used in many fields of natural and social sciences. In the presence of collinearity, the least squares estimator is unstable and often gives misleading information. Ridge regression is the most common method to overcome this problem.
Kejian Liu
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Combining the Liu-type estimator and the principal component regression estimator
Statistical Papers, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
İNAN, DENİZ
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Improvement of the Liu‐type Shiller estimator for distributed lag models
Journal of Forecasting, 2017 AbstractThe problem of multicollinearity produces undesirable effects on ordinary least squares (OLS), Almon and Shiller estimators for distributed lag models. Therefore, we introduce a Liu‐type Shiller estimator to deal with multicollinearity for distributed lag models.
Nimet Özbay, Selahattin Kaçıranlar
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The distribution of stochastic shrinkage biasing parameters of the Liu type estimator
Applied Mathematics and Computation, 2005 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Akdeniz F., Öztürk F.
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On the weighted mixed Liu-type estimator under unbiased stochastic restrictions
Communications in Statistics - Simulation and Computation, 2017 AbstractIn this article we introduce the weighted mixed Liu-type estimator (WMLTE) based on the weighted mixed and Liu-type estimator (LTE) in linear regression model. We will also present necessary and sufficient conditions for superiority of the weighted mixed Liu-type estimator over the weighted mixed estimator (WME) and Liu type estimator (LTE) in ...
YILDIZ, NİLGÜN
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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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Robust Liu‐type estimator based on GM estimator
Statistica Neerlandica, 2023Ordinary 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, 2021The inverse Gaussian regression (IGR) model parameters are generally estimated using the maximum likelihood (ML) estimation method.
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