Results 231 to 240 of about 164,145 (281)

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]. In particular, we show that our new estimator is superior, in the scalar mean-squared error (mse) sense, to the Liu estimator, to the OLS estimator and to the PCR estimator.
Sadullah Sakallioglu
exaly   +2 more sources

Liu-Type Logistic Estimator

Communications in Statistics Part B: Simulation and Computation, 2013
It is known that multicollinearity inflates the variance of the maximum likelihood estimator in logistic regression. Especially, if the primary interest is in the coefficients, the impact of collinearity can be very serious. To deal with collinearity, a ridge estimator was proposed by Schaefer et al. The primary interest of this article is to introduce
Deniz Inan
exaly   +3 more sources

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
openaire   +2 more sources

On the almost unbiased generalized liu estimator and unbiased estimation of the bias and mse

Communications in Statistics - Theory and Methods, 1995
In this paper, we derive the almost unbiased generalized Liu estimator and examine an exact unbiased estimator of the bias and mean squared error of the feasible generalized Liu estimator . We compare the almost unbiased generalized Liu estimator (AUGLE) with the generalized Liu estimator (GLE) and with the ordinary least squares estimator (OLSE).
Selahattin Kaciranlar
exaly   +4 more sources

Liu-Type Multinomial Logistic Estimator

Sankhya B, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mohamed R Abonazel, Rasha A Farghali
exaly   +2 more sources

Bootstrap Liu estimators for Poisson regression model

Communications in Statistics - Simulation and Computation, 2021
The Liu estimator is used to get precise estimatesby introducing bootstrap technique to reduce the problem of multicollinearity in Poisson regression model.
Ismat Perveen, Muhammad Suhail
openaire   +1 more source

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.
openaire   +1 more source

Applications of resampling methods in multivariate Liu estimator

Computational Statistics, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shima Pirmohammadi, Hamid Bidram
openaire   +2 more sources

A robust Liu regression estimator

Communications in Statistics - Simulation and Computation, 2017
The least-squares regression estimator can be very sensitive in the presence of multicollinearity and outliers in the data. We introduce a new robust estimator based on the MM estimator.
Peter Filzmoser, Fatma Sevinç Kurnaz
openaire   +3 more sources

Detecting influential observations in Liu and modified Liu estimators

Journal of Applied Statistics, 2013
In regression, detecting anomalous observations is a significant step for model-building process. Various influence measures based on different motivational arguments are designed to measure the influence of observations through different aspects of various regression models.
Ertas H., Erisoglu M., Kaciranlar S.
openaire   +1 more source