Results 261 to 270 of about 4,819,578 (314)

Identifying local influential observations in Liu estimator

Metrika, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jahufer, Aboobacker, Chen, Jianbao
openaire   +2 more sources

Generalized difference-based weighted mixed almost unbiased liu estimator in semiparametric regression models

Communications in Statistics - Theory and Methods, 2020
In classical linear regression analysis problems, the ordinary least-squares (OLS) estimation is the popular method to obtain the regression weights, given the essential assumptions are satisfied.
F. Akdeniz, M. Roozbeh, E. Akdeniz, N. M. Khan   +3 more
semanticscholar   +1 more source

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 β in a semiparametric regression model. We also obtained the semiparametric restricted Liu-type estimator for the parametric component in a semiparametric regression model. The ideas in the paper are illustrated in a real data example and in a Monte Carlo simulation study.
Akdeniz F., Duran E.A.
openaire   +3 more sources

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
openaire   +3 more sources

Robust Liu estimator for regression based on an M-estimator

Journal of Applied Statistics, 2000
Consider the regression model y = beta 0 1 + Xbeta + epsilon. Recently, the Liu estimator, which is an alternative biased estimator beta L (d) = (X'X + I) -1 (X'X + dI)beta OLS , where ...
Arslan O., Billor N.
openaire   +1 more source

On the stochastic restricted Liu estimator in logistic regression model

, 2020
In this paper, we study the effects of near-singularity which is known as multicollinearity in the binary logistic regression. Furthermore, we also assume the presence of stochastic non-sample linear restrictions. The well-known logistic Liu estimator is
Yong Li, Yasin Asar, Jibo Wu
semanticscholar   +1 more source

Jackknifed Liu estimator in linear regression models

Wuhan University Journal of Natural Sciences, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Hongchang, Xia, Yuhe
openaire   +2 more sources

The effectiveness of Liu-Estimator in predicting poverty levels in Indonesia: Comparative study and application of simulation

Multidisciplinary Science Journal
Several logistic regression studies have frequently encountered problems where the data contains multicollinearity. This condition negatively impacts parameter estimation.
N. Herawati, Eva Silviana, Khoirin Nisa, Subian Saidi   +3 more
semanticscholar   +1 more source

On the Assessment Restricted Liu Estimator for Dealing with Multi-Collinearity Problem

Pure Mathematics for Theoretical Computer Science
In this paper, we concentrate on comparing the restricted least squares with restricted Liu estimator based on (MSE) criterion in the existence of multi-collinearity.
Noor Noor
semanticscholar   +1 more source

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