Results 21 to 30 of about 3,505 (256)

Modified Kibria-Lukman (MKL) estimator for the Poisson Regression Model: application and simulation [version 2; peer review: 2 approved, 1 approved with reservations]

F1000Research, 2021
Background: Multicollinearity greatly affects the Maximum Likelihood Estimator (MLE) efficiency in both the linear regression model and the generalized linear model. Alternative estimators to the MLE include the ridge estimator, the Liu estimator and the
Olukayode Adebimpe, Benedicta B. Aladeitan, Adewale F. Lukman, Oluwakemi E. Abiodun, Olajumoke Oludoun   +4 more
doaj   +1 more source

On the Performance of Jackknife Based Estimators for Ridge Regression

IEEE Access, 2021
تُستخدم تقنيات الانحدار بشكل عام للتنبؤ بمتغير الاستجابة باستخدام متغير تنبؤ واحد أو أكثر. في العديد من مجالات الدراسة، يمكن أن تكون الانحدارات مترابطة للغاية، مما يؤدي إلى مشكلة الخطية المتعددة. وبالتالي، تصبح تقديرات المربعات الصغرى العادية غير متسقة وتؤدي إلى استنتاجات خاطئة. للتعامل مع المشكلة، تُستخدم تقنيات التعلم الآلي على وجه الخصوص، نهج انحدار
Ismail Shah, Faiza Sajid, Sajid Ali 0001, Amjad Rehman, Saeed Ali Bahaj, Suliman Mohamed Fati   +5 more
openaire   +2 more sources

Two-Parameter Modified Ridge-Type M-Estimator for Linear Regression Model

The Scientific World Journal, 2020
The general linear regression model has been one of the most frequently used models over the years, with the ordinary least squares estimator (OLS) used to estimate its parameter.
Adewale F. Lukman, Kayode Ayinde, B. M. Golam Kibria, Segun L. Jegede   +3 more
doaj   +1 more source

New estimators in a partial linear model depending on an unbiased ridge regression estimator [PDF]

EPJ Web of Conferences
This paper introduces two new estimators based on the philosophy of unbiased ridge regression estimation, where the parameters are part of a partial linear model suffering from multicollinearity.
Al-Khazraji Yousif A., AIheety Mustafa I.   +1 more
doaj   +1 more source

Ancestral State Estimation with Phylogenetic Ridge Regression

Evolutionary Biology, 2020
The inclusion of fossil phenotypes as ancestral character values at nodes in phylogenetic trees is known to increase both the power and reliability of phylogenetic comparative methods (PCMs) applications. We implemented the R function RRphylo as to integrate fossil phenotypic information as ancestral character values.
Silvia Castiglione, Carmela Serio, Alessandro Mondanaro, Marina Melchionna, Francesco Carotenuto, Mirko Di Febbraro, Antonio Profico, Davide Tamagnini, Pasquale Raia   +8 more
openaire   +4 more sources

Condition-index based new ridge regression estimator for linear regression model with multicollinearity

Kuwait Journal of Science, 2023
Ridge regression is employed to estimate the regression parameters while circumventing the multicollinearity among independent variables. The ridge parameter plays a vital role as it controls bias-variance tradeoff. Several methods for choosing the ridge
Irum Sajjad Dar, Sohail Chand, Maha Shabbir, B.M. Golam Kibria   +3 more
doaj   +1 more source

Improving generalized ridge estimator for the gamma regression model. [PDF]

المجلة العراقية للعلوم الاحصائية
It has been consistently proven that the ridge estimator is an effective shrinking strategy for reducing the effects of multicollinearity. An effective model to use when the response variable is positively skewed is the Gamma Regression Model (GRM ...
AVAN Al-Saffar, Zakaria Y. Algamal
doaj   +1 more source

Modified jackknife ridge estimator for the Conway-Maxwell-Poisson model

Scientific African, 2023
Recently, research papers have shown a strong interest in modeling count data. The over-dispersion or under-dispersion are frequently seen in the count data.
Zakariya Yahya Algamal, Mohamed R. Abonazel, Fuad A. Awwad, Elsayed Tag Eldin   +3 more
doaj   +1 more source

Modified Ridge Estimator for Poisson Regression

Cumhuriyet Science Journal
Poisson regression is a statistical model used to model the relationship between a count-valued-dependent variable and one or more independent variables. A frequently encountered problem when modeling such relationships is multicollinearity, which occurs
Shuaib Mursal Ibrahim, Aydın Karakoca
doaj   +1 more source

A new hybrid estimator for linear regression model analysis: Computations and simulations

Scientific African, 2023
The Linear regression model explores the relationship between a response variable and one or more independent variables. The parameters in the model are often estimated using the Ordinary Least Square Estimator (OLSE).
G.A. Shewa, F.I. Ugwuowo
doaj   +1 more source