Results 91 to 100 of about 551 (134)

Modified ridge-type for the Poisson regression model: simulation and application. [PDF]

J Appl Stat, 2022
Lukman AF, Aladeitan B, Ayinde K, Abonazel MR.   +3 more
europepmc   +1 more source

Almost unbiased modified ridge-type estimator: An application to tourism sector data in Egypt. [PDF]

Heliyon, 2022
Omara TM.
europepmc   +1 more source

Improved estimators in Bell regression model with application

In this paper, we propose the application of shrinkage strategies to estimate coefficients in the Bell regression models when prior information about the coefficients is available.
Algamal, Zakariya Yahya, Bevrani, Hossein, Seifollahi, Solmaz   +2 more
core  

Modeling and robust prediction of high heating values of municipal solid waste based on ultimate analysis [PDF]

The heating/calorific value of municipal solid waste (MSW) is essential in selecting or designing the appropriate waste to energy (WTE) systems. Experimental evaluation of the heating value of solid fuels is labor intensive, costly, and subject to ...
Akeju, Emmanuel, IBIKUNLE, R.A., Lukman, A. F., Titiladunayo, I.F.   +3 more
core  

Modeling energy content of municipal solid waste based on proximate analysis: R-k class estimator approach [PDF]

In the Ilorin metropolis, there are power challenges. Energy supplied by Power Holding Company of Nigeria is insufficient for the social, technological, and industrial requirements of the metropolis.
Haadi, A., IBIKUNLE, R.A., Lukman, A. F., Titiladunayo, I.F.   +3 more
core  

Some Ridge Biasing Parameter for Linear Regression Model and Their Performances on Kibria-Lukman Estimator

Multicollinearity, arising from the violation of the independence assumption among explanatory variables in a linear regression model, poses a significant challenge to parameter estimation. It inflates the variances of the Ordinary Least Squares (OLS) estimates, leading to unstable coefficient estimates and unreliable inference.
openaire   +2 more sources

New robust estimator for handling outliers and multicollinearity in gamma regression model with application to breast cancer data. [PDF]

Sci Rep
Alshangiti AM, Gemeay AM, Bakr ME, Yousuf AM, El-Qurashi MA, Balogun OS, Hussam E, Hammad AT.   +7 more
europepmc   +1 more source

New robust two-parameter estimator for overcoming outliers and multicollinearity in Poisson regression model. [PDF]

Sci Rep
Mohammad HH, Hammad AT, El-Helbawy AA, Kalantan ZI, Habineza A, Hussam E, Gemeay AM.   +6 more
europepmc   +1 more source

Robust estimation methods for addressing multicollinearity and outliers in beta regression models. [PDF]

Sci Rep
Olaluwoye OT, Lukman AF, Alrasheedi MA, Nzomo WN, Farghali RA.   +4 more
europepmc   +1 more source

Enhancing accuracy in modelling highly multicollinear data using alternative shrinkage parameters for ridge regression methods. [PDF]

Sci Rep
Akhtar N, Alharthi MF.
europepmc   +1 more source