Results 231 to 240 of about 24,459 (261)

COMBINING THE LIU ESTIMATOR AND THE PRINCIPAL COMPONENT REGRESSION ESTIMATOR

Communications in Statistics - Theory and Methods, 2001
In this paper we introduce a class of estimators which includes the ordinary least squares (OLS), the principal components regression (PCR) and the Liu estimator (1).
Sadullah Sakallioğlu
exaly   +2 more sources

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

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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
openaire   +2 more sources

Developing a Liu‐type estimator in beta regression model

Concurrency and Computation: Practice and Experience, 2021
AbstractThe beta regression model is a commonly used when the response variable has the form of fractions or percentages. The maximum likelihood (ML) estimator is used to estimate the regression coefficients of this model. However, it is known that multicollinearity problem affects badly the variance of ML estimator.
Zakariya Yahya Algamal, Mohamed Reda Abonazel   +1 more
openaire   +1 more source

On the Principal Component Liu-type Estimator in Linear Regression

Communications in Statistics - Simulation and Computation, 2014
In this article, we present a principal component Liu-type estimator (LTE) by combining the principal component regression (PCR) and LTE to deal with the multicollinearity problem. The superiority of the new estimator over the PCR estimator, the ordinary least squares estimator (OLSE) and the LTE are studied under the mean squared error matrix.
Jibo Wu, Hu Yang 0001
openaire   +1 more source

New Shrinkage Parameters for the Liu-type Logistic Estimators

Communications in Statistics - Simulation and Computation, 2015
The binary logistic regression is a widely used statistical method when the dependent variable has two categories. In most of the situations of logistic regression, independent variables are collinear which is called the multicollinearity problem. It is known that multicollinearity affects the variance of maximum likelihood estimator (MLE) negatively ...
Yasin Asar, Asir Genç
openaire   +2 more sources

Almost unbiased Liu-type estimators in gamma regression model

Journal of Computational and Applied Mathematics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yasin Asar, Merve Korkmaz
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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
openaire   +1 more source

Adjustive Liu-Type Estimators in Linear Regression Models

Communications in Statistics - Simulation and Computation, 2010
In this article, we aim to put forward the notion of adjustive Liu-type estimator (ALTE) in the linear regression model. First, the explicit expression of the optimal selection of the adjustive factors is derived under the PRESS criterion through matrix techniques. Then, the results are applied to the dataset on Portland cement.
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Improved Liu-type estimator in partial linear model

International Journal of Computer Mathematics, 2015
In this article, a Liu-type estimation is proposed for the vector-parameter in a partial linear model. This new estimator can be regarded as generalization of the restricted least-squares estimator, the restricted ridge estimator and the restricted Liu estimator. We also obtain the asymptotic distributional bias and risk of these estimators and we also
openaire   +1 more source