Results 1 to 10 of about 2,495,910 (283)
Statistical Papers, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fatma Sevinç Kurnaz, Kadri Ulaş Akay
exaly +7 more sources
The Mixed Liu Estimator in Stochastic Restricted Linear Measurement Error Model
Journal of Mathematics, 2021 Ghapani and Babdi [1] proposed a mixed Liu estimator in linear measurement error model with stochastic linear restrictions. In this article, we propose an alternative mixed Liu estimator in the linear measurement error model with stochastic linear ...
Jibo Wu
doaj +2 more sources
Liu -Type Estimator and Selection of Variables [PDF]
مجلة جامعة الانبار للعلوم الصرفة, 2012 In this paper we consider the generalized Liu-type estimator and combine it into subset selection criterion using Cp statistic. Our proposed method can be derived via natural extension of two well-known techniques: one is shrinkage estimators and the ...
Mustafa Ismaeel. Niaf
doaj +2 more sources
On the Liu and almost unbiased Liu estimators in the presence of multicollinearity with heteroscedastic or correlated errors [PDF]
Surveys in Mathematics and its Applications, 2009 This paper introduces a new biased estimator, namely, almost unbiased Liu estimator (AULE) of β for the multiple linear regression model with heteroscedastics and/or correlated errors and suffers from the problem of multicollinearity.
Mustafa I. Alheety, B. M. Golam Kibria
doaj +2 more sources
Assessment Restricted Liu Estimator to treating Multicollinearity Problem [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 In this research, we compared restricted least squares with restricted Liu estimator . by using (MSE) criterion in the existence of multicollinearity. We found that restricted Liu estimator is the best in comparison.
doaj +2 more sources
Estimation methods of logistic regression in context of multicollinearity (Comparative study) [PDF]
Maǧallaẗ Al-Buḥūṯ Al-Tiǧāriyyaẗ, 2023 The binary logistic regression (BLR) model is used as an alternative to the commonly used linear regression model when the response variable is binary.
Hassan Mohamed Ali +2 more
doaj +1 more source
Frontiers in Applied Mathematics and Statistics, 2023 The Conway–Maxwell–Poisson (COMP) model is defined as a flexible count regression model used for over- and under-dispersion cases. In regression analysis, when the explanatory variables are highly correlated, this means that there is a multicollinearity ...
Mohamed R. Abonazel +4 more
doaj +1 more source
A New Two-Parameter Estimator for Beta Regression Model: Method, Simulation, and Application
Frontiers in Applied Mathematics and Statistics, 2022 The beta regression is a widely known statistical model when the response (or the dependent) variable has the form of fractions or percentages. In most of the situations in beta regression, the explanatory variables are related to each other which is ...
Mohamed R. Abonazel +3 more
doaj +1 more source
On a Mixed Poisson Liu Regression Estimator for Overdispersed and Multicollinear Count Data
The Scientific World Journal, 2022 The mixed Poisson regression models are commonly employed to analyze the overdispersed count data. However, multicollinearity is a common issue when estimating the regression coefficients by using the maximum likelihood estimator (MLE) in such regression
Ramajeyam Tharshan +1 more
doaj +1 more source
On Liu estimators for the logit regression model [PDF]
Economic Modelling, 2012 This paper introduces a shrinkage estimator for the logit model which is a generalization of the estimator proposed by Liu (1993) for the linear regression. This new estimation method is suggested since the mean squared error (MSE) of the commonly used maximum likelihood (ML) method becomes inflated when the explanatory variables of the regression ...
Månsson, Kristofer +2 more
openaire +1 more source