Results 211 to 220 of about 9,093,191 (259)
Causal associations of circulating C-reactive protein with sarcopenia-related traits: A 2-sample Mendelian randomization study. [PDF]
Li JA +5 more
europepmc +1 more source
Multi-layer gut microbiome variation in type 2 diabetes despite preserved higher-order community structure. [PDF]
Zhou J +5 more
europepmc +1 more source
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 +4 more sources
Efficiency of the modified jackknifed Liu-type estimator
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Esra Akdeniz Duran
exaly +4 more sources
Inverse Gaussian Liu-type estimator
The inverse Gaussian regression (IGR) model parameters are generally estimated using the maximum likelihood (ML) estimation method.
Bulut, YAKUP MURAT, Y. Murat Bulut
openaire +4 more sources
Robust Liu-type estimator for regression based on M-estimator
ABSTRACTThe problem of multicollinearity and outliers in the dataset can strongly distort ordinary least-square estimates and lead to unreliable results. We propose a new Robust Liu-type M-estimator to cope with this combined problem of multicollinearity and outliers in the y-direction.
Hasan Ertas +2 more
openaire +2 more sources
Liu-type estimator in semiparametric regression models
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.
core +5 more sources
Robust Liu‐type estimator based on GM estimator
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 +4 more sources
Liu-type estimator for the gamma regression model
In this paper, we propose a new biased estimator called Liu-type estimator in gamma regression models in the presence of collinearity.
Zakariya Yahya Algamal, Yasin Asar
openaire +3 more sources

