Results 91 to 100 of about 218 (135)

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

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

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 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

Shrinkage estimators in zero-inflated Bell regression model with application

We propose Stein-type estimators for zero-inflated Bell regression models by incorporating information on model parameters. These estimators combine the advantages of unrestricted and restricted estimators.
Algamal, Zakariya Yahya, Bevrani, Hossein, Seifollahi, Solmaz   +2 more
core  

Front Matter [PDF]

, 2017
Editors, JMASM
core   +1 more source

Chemometrics validation of adsorption process economy: Case study of acetaminophen removal onto quail eggshell adsorbents [PDF]

ADEKOLA, F.A, Amone, Kelvin, Bankole, Deborah, Bello, O.S., INYINBOR, A.A, Lukman, A. F., Oreofe, Toyin Adedayo   +6 more
core  

Surface functionalized plant residue in Cu2+ scavenging: Chemometrics of operational parameters for process economy validation [PDF]

ADEKOLA, F.A, Bankole, Deborah, Bello, O.S., INYINBOR, A.A, Lukman, A. F., Olatunji, Gabriel Ademola, Oreofe, Toyin Adedayo   +6 more
core  

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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