Results 51 to 60 of about 218 (135)
A Modified New Two‐Parameter Estimator in a Linear Regression Model
Modelling and Simulation in Engineering, Volume 2019, Issue 1, 2019., 2019 The literature has shown that ordinary least squares estimator (OLSE) is not best when the explanatory variables are related, that is, when multicollinearity is present. This estimator becomes unstable and gives a misleading conclusion. In this study, a modified new two‐parameter estimator based on prior information for the vector of parameters is ...
Adewale F. Lukman +4 more
wiley +1 more source
Kibria-Lukman Hybrid Estimator for the Conway–Maxwell–Poisson Regression Model [PDF]
The Conway-Maxwell-Poisson regression (CMPR) model provides a flexi- ble framework for analyzing count data in cases of over- and under-dispersion. Estimating the parameter in CMPR typically relies on the maximum likeli- hood estimator (MLE), which can ...
Alrweili, Hleil
core +3 more sources
A comparative study between shrinkage methods (ridge-lasso) using simulation [PDF]
, 2023 The general linear model is widely used in many scientific fields, especially biological ones. The Ordinary Least Squares (OLS) estimators for the coefficients of the general linear model are characterized by good specifications symbolized by the acronym
Ghareeb, et. al., Zainab Fadhil
core +5 more sources
Research in StatisticsThis article proposes some new estimators, namely Stein’s estimators for ridge regression and Kibria and Lukman estimator and compares their performance with some existing estimators, namely maximum likelihood estimator (MLE), ridge regression estimator,
Md Ariful Hoque, B. M. Golam Kibria
doaj +1 more source
Potential RNA-dependent RNA polymerase inhibitors as prospective therapeutics against SARS-CoV-2 [PDF]
, 2020 Introduction. The emergence of SARS-CoV-2 has taken humanity off guard. Following an outbreak of SARS-CoV in 2002, and MERS-CoV about 10 years later, SARS-CoV-2 is the third coronavirus in less than 20 years to cross the species barrier and start ...
Chapagain, Prem +2 more
core +1 more source
INVERSE GAUSSIAN REGRESSION MODELING AND ITS APPLICATION IN NEONATAL MORTALITY CASES IN INDONESIA [PDF]
, 2022 Inverse Gaussian Regression (IGR) is a suitable model for modeling positively skewed response data, which follows the inverse Gaussian distribution. The IGR model was formed from the Generalized Linear Models (GLM).
Fathurahman, M.
core +2 more sources
Journal of Mathematics, Volume 2025, Issue 1, 2025.The negative binomial regression model (NBRM) is popular for modeling count data and addressing overdispersion issues. Generally, the maximum likelihood estimator (MLE) is used to estimate the NBRM coefficients. However, when the explanatory variables in the NBRM are correlated, the MLE yields inaccurate estimates.
Bushra Ashraf +5 more
wiley +1 more source
Modeling of COVID-19 Cases in Indonesia with the Method of Geographically Weighted Regression [PDF]
, 2023 The COVID-19 pandemic has spread to all corners of the world, including Indonesia. Various factors affect the spread of COVID-19 cases in an area so that the government and the community can make prevention and control efforts so that this pandemic does ...
Arifin, Samsul, Herdiani, Erna Tri
core +2 more sources
Two Stage Robust Ridge Method in a Linear Regression Model [PDF]
, 2015 Two Stage Robust Ridge Estimators based on robust estimators M, MM, S, LTS are examined in the presence of autocorrelation, multicollinearity and outliers as alternative to Ordinary Least Square Estimator (OLS).
Ayinde, Kayode +2 more
core +3 more sources
DEVELOPMENT OF SOME RIDGE ESTIMATORS FOR CLASSICAL AND GENERALIZED LINEAR REGRESSION MODELS
, 2022 Regression analysis is a statistical tool usually used to study the relationship between a dependent variable and independent variables. The classical linear regression model (CLRM) and Generalized Linear Regression Model (GLRM) are examples of ...
ALADEITAN, BOLUWAJI BENEDICTA
core +1 more source