Results 131 to 140 of about 163,142 (181)

Dynamic Borrowing With a Bias-Tolerance Cap in Augmented Randomized Controlled Trials. [PDF]

Stat Med
Sawada K, Nomura S, Shinozaki T.
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Fast and robust invariant generalized linear models. [PDF]

J Comput Graph Stat
Knight P, Jobe NI, Duan R.
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Liu-Type Logistic Estimator

Communications in Statistics - 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, Birsen E. Erdogan
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Using Liu-Type Estimator to Combat Collinearity

Communications in Statistics - Theory and Methods, 2003
Linear regression model and least squares method are widely used in many fields of natural and social sciences. In the presence of collinearity, the least squares estimator is unstable and often gives misleading information. Ridge regression is the most common method to overcome this problem.
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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
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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.
Filzmoser, Peter, KURNAZ, Fatma Sevinç
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Liu-Type Multinomial Logistic Estimator

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