Results 21 to 30 of about 551 (134)
Predictive modelling of COVID-19 confirmed cases in Nigeria. [PDF]
Infect Dis Model, 2020 The coronavirus outbreak is the most notable world crisis since the Second World War. The pandemic that originated from Wuhan, China in late 2019 has affected all the nations of the world and triggered a global economic crisis whose impact will be felt ...
Ogundokun RO +4 more
europepmc +6 more sources
A Modified Two Parameter Estimator with Different Forms of Biasing Parameters in the Linear Regression Model [PDF]
African Scientific Reports, 2022 Despite its common usage in estimating the linear regression model parameters, the ordinary least squares estimator often suffers a breakdown when two or more predictor variables are strongly correlated.
Abiola T. Owolabi +2 more
doaj +3 more sources
New two parameter hybrid estimator for zero inflated negative binomial regression models [PDF]
Scientific ReportsThe zero-inflated negative binomial regression (ZINBR) model is used for modeling count data that exhibit both overdispersion and zero-inflated counts. However, a persistent challenge in the efficient estimation of parameters within ZINBR models is the ...
Fatimah A. Almulhim +5 more
doaj +2 more sources
A New Biased Estimation Class to Combat the Multicollinearity in Regression Models: Modified Two--Parameter Liu Estimator [PDF]
Computational Journal of Mathematical and Statistical SciencesThe multicollinearity problem occurrence of the explanatory variables affects the least-squares (LS) estimator seriously in the regression models. The multicollinearity adverse effects on the LS estimation are also investigated by many authors.
Mohamed Reda Abonazel
doaj +3 more sources
Mitigating Multicollinearity in Linear Regression Model with Two Parameter Kibria-Lukman Estimators
WSEAS TRANSACTIONS ON SYSTEMS AND CONTROL, 2023 This study delves into the challenges faced by the ordinary least square (OLS) estimator, traditionally regarded as the Best Linear Unbiased Estimator in classical linear regression models.
Idowu J. I. +5 more
semanticscholar +2 more sources
Some Modified Kibria-Lukman Estimators for the Gamma Regression Model
التجارة والتمويل, 2022 : This paper aims to propose the Gamma modified Kibria-Lukman estimator according to some selected formulas of the shrinkage parameter in order to overcome the effect of the multicollinearity problem in the Gamma regression model.
E. Yehia
semanticscholar +2 more sources
Dawoud–Kibria Estimator for Beta Regression Model: Simulation and Application
Frontiers in Applied Mathematics and Statistics, 2022 The linear regression model becomes unsuitable when the response variable is expressed as percentages, proportions, and rates. The beta regression (BR) model is more appropriate for the variable of this form.
Mohamed R. Abonazel +3 more
doaj +2 more sources
Predictive modeling of COVID-19 death cases in Pakistan. [PDF]
Infect Dis Model, 2020 Background The world is presently facing the challenges posed by COVID-19 (2019-nCoV), especially in the public health sector, and these challenges are dangerous to both health and life.
Daniyal M +4 more
europepmc +3 more sources
International Journal of Development Mathematics (IJDM)Multicollinearity among predictors and autocorrelation in residuals present significant challenges to the reliability and accuracy of linear regression models.
Ayanlola E. Ayanlowo +4 more
semanticscholar +2 more sources
International Journal of Applied Science and Engineering ReviewPoisson regression is a statistical method used to analyze data with a response in the form of a count variable. The purpose of this study is to compare the performance of the Poisson James-Stein Estimator, Poisson Ridge Regression Estimator, and Poisson
M. F. Alyasa +3 more
semanticscholar +2 more sources