Results 11 to 20 of about 24,459 (261)
Statistical Papers, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kurnaz, Fatma Sevinc, Akay, Kadri Ulas
openaire +6 more sources
IEEE Access, 2021 A situation in which an image is combined with multiple images to form interferometric pairs is often observed in small baseline subset-interferometric synthetic aperture radar (SBAS-InSAR) deformation inversion, and this situation leads to a near linear
Min Zhai +6 more
doaj +2 more sources
Efficiency of a Liu-type estimator in semiparametric regression models
Journal of Computational and Applied Mathematics, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esra Akdeniz Duran +2 more
core +5 more sources
On the Performance of Principal Component Liu-Type Estimator under the Mean Square Error Criterion [PDF]
Journal of Applied Mathematics, 2013 Wu (2013) proposed an estimator, principal component Liu-type estimator, to overcome multicollinearity. This estimator is a general estimator which includes ordinary least squares estimator, principal component regression estimator, ridge estimator, Liu ...
Jibo Wu
doaj +2 more sources
Shifted Liu-Type Estimator in The Linear Regression
Jurnal Matematika, Statistika dan Komputasi, 2022 The methods to solve the problem of multicollinearity have an important issue in the linear regression. The Liu-type estimator is one of these methods used to reduce its effect. This estimator is an estimator with two parameters denoted and . Kurnaz and Akay (2015) [6] introduced a new approach for the Liu-type estimator and called it new Liu-type (NL)
Erdugan, Funda
openaire +3 more sources
Efficiency of the Principal Component Liu-Type Estimator in Logistic Regression
Revstat Statistical Journal, 2020 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 overcome the multicollinearity problem. The superiority of the new estimator
Jibo Wu , Yasin Asar
doaj +2 more sources
A New Liu Type of Estimator for the Restricted SUR Estimator
Journal of Modern Applied Statistical Methods, 2020 A new Liu type of estimator for the seemingly unrelated regression (SUR) models is proposed that may be used when estimating the parameters vector in the presence of multicollinearity if the it is suspected to belong to a linear subspace. The dispersion matrices and the mean squared error (MSE) are derived.
Kristofer Månsson +2 more
openaire +4 more sources
The beta Liu-type estimator: simulation and application
Hacettepe Journal of Mathematics and Statistics, 2023 The Beta Regression Model (BRM) is commonly used while analyzing data where the dependent variable is restricted to the interval $[0,1]$ for example proportion or probability. The Maximum Likelihood Estimator (MLE) is used to estimate the regression coefficients of BRMs.
Ali ERKOÇ +3 more
openaire +5 more sources
Difference based ridge and Liu type estimators in semiparametric regression models [PDF]
Journal of Multivariate Analysis, 2011 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esra Akdeniz Duran +2 more
openaire +4 more sources
An almost unbiased Liu-type estimator in the linear regression model
Communications in Statistics - Simulation and Computation, 2022 A biased estimator, compared to least squares estimators, is one of the most used statistical procedures to overcome the problem of multicollinearity. Liu-type estimators, which are biased estimators, are preferred in a wide range of fields. In this article, we propose an almost unbiased Liu-type (AUNL) estimator and discuss its performance under the ...
Erdugan, Funda
openaire +3 more sources