Results 1 to 10 of about 133 (94)

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

A New Mixed Biased Estimator for Ill-Conditioning Challenges in Linear Regression Model With Chemometrics Applications. [PDF]

Anal Sci Adv
Amin M, Aljeddani SMA, Akram MN, Yasmeen S.   +3 more
europepmc   +1 more source

A new modified biased estimator for Zero inflated Poisson regression model. [PDF]

Heliyon
Zeeshan M, Khan A, Amanullah M, Bakr ME, Alshangiti AM, Balogun OS, Yusuf M.   +6 more
europepmc   +1 more source

Mitigating multicollinearity in zero-inflated negative binomial regression using the modified Kibria-Lukman estimator

AIMS Mathematics
Masad A. Alrasheedi, Adewale F. Lukman, Rasha A. Farghali, Asamh Saleh M. Al Luhayb   +3 more
openaire   +1 more source

A New biased estimator and variations based on the Kibria Lukman Estimator

Istanbul Journal of Mathematics, 2023
Summary: One of the problems encountered in linear regression models is called multicollinearity problem which is an approximately linear relationship between the explanatory variables. This problem causes the estimated parameter values to be highly sensitive to small changes in the data.
AKAY, Kadri Ulaş, ERTAN, Esra, ERKOÇ, Ali   +2 more
openaire   +3 more sources

On the preliminary test Kibria-Lukman estimator for the linear regression model

Communications in Statistics Part B: Simulation and Computation
B M Golam Kibria, Jibo Wu
exaly   +2 more sources

Kibria‐Lukmantype estimator for gamma regression model

Concurrency and Computation: Practice and Experience, 2022
SummaryThe gamma regression model explores the relationship between a skewed response variable and one or more independent variables. The method of maximum likelihood is popularly adopted to model the relationship. However, the method performance drops when linear dependency exists among the predictors (multicollinearity). In this article, we develop a
Gladys Amos Shewa, Fidelis Ifeanyi Ugwuowo   +1 more
openaire   +1 more source