Reducing Bias in Beta Regression Models Using Jackknifed Liu‐Type Estimators: Applications to Chemical Data

S Seifollahi, H Bevrani, O Albalawi - Journal of Mathematics, 2024 - Wiley Online Library
In the field of chemical data modeling, it is common to encounter response variables that are
constrained to the interval (0, 1). In such cases, the beta regression model is often a more …

[HTML][HTML] Developing ridge estimators for the extended Poisson-Tweedie regression model: Method, simulation, and application

MR Abonazel, ARR Alzahrani, AA Saber, I Dawoud… - Scientific African, 2024 - Elsevier
Abstract The extended Poisson-Tweedie (EPT) regression model is one of the count data
regression models. It's a more flexible model in count data; since EPT model can be used in …

[PDF][PDF] Artificial intelligence as a support for Arabic language learning in higher education with vosviewer analysis

U Morales, V Lopez, S Joanan… - Journal International …, 2022 - pdfs.semanticscholar.org
The world is increasingly showing the progress of human resources in the field of science
and technology, and the development of knowledge about this technology also continues to …

Improved Liu-ridge-type estimates for the beta regression model

MA Abdel-Fattah - Journal of Statistical Computation and …, 2024 - Taylor & Francis
The main objective of this paper is to introduce a new class of estimators for the ill-
conditioned beta regression model. The new class, named the Liu-ridge-type (LRT) …

Identifying a class of Ridge-type estimators in binary logistic regression models

E Ertan, KU Akay - Statistics, 2024 - Taylor & Francis
In the analysis of logistic regression models, various biased estimators have been proposed
as an alternative to the maximum likelihood estimator (MLE) for estimating model …

A New General Ridge-Type Estimator in Linear Regression Models: Accepted-January 2024

KU Akay, E Ertan, A Erkoç, F Taş - REVSTAT-Statistical Journal, 2024 - revstat.ine.pt
In linear regression models, researchers develop new biased estimators to alleviate the
effects of multicollinearity, rather than using the Ordinary Least Squares (OLS) method which …

Beta Regresyon Modelinde Tahmin Yöntemlerinin Karşılaştırılması

P Gedikli - 2024 - search.proquest.com
Beta regresyon modelinde çoklu bağlantı problemleri ortaya çıktığında, en çok olabilirlik
tahmin edicisinin performansı olumsuz etkilenmektedir. Bu zorlukları aşmak amacıyla, çeşitli …

Performance of A New Bias Corrected Estimator in Beta Regression Model: A Monte Carlo Study

Y Asar - Necmettin Erbakan Üniversitesi Fen ve Mühendislik … - dergipark.org.tr
The primary approach for obtaining regression parameters in the beta regression model is
the utilization of the maximum likelihood estimation technique. However, it is acknowledged …