Results 71 to 80 of about 173 (111)

Unbiased K-L estimator for the linear regression model. [PDF]

open access: yesF1000Res, 2021
Aladeitan B   +4 more
europepmc   +1 more source

Feasible robust Liu estimator to combat outliers and multicollinearity effects in restricted semiparametric regression mode [PDF]

open access: yes
Regression analysis frequently encounters two issues: multicollinearity among the explanatory variables, and the existence of outliers in the data set.
M. Roozbeh   +2 more
core   +1 more source

Quantile-based robust Kibria–Lukman estimator for linear regression model to combat multicollinearity and outliers: Real life applications using T20 cricket sports and anthropometric data

open access: yesKuwait Journal of Science
The performance of ordinary least squares (OLS) and ridge regression (RR) are influenced when outliers are present in y-direction with multicollinearity among independent variables. The robust RR with ridge parameters provides a biased estimator that has
doaj   +1 more source

Hybrid principal component regression estimation in linear regression [PDF]

open access: yes
In this paper, the principal component regression (PCR) estimators for regression parameters were studied in a linear regression model. After discussing the advantages and disadvantages of the classical PCR, we put forward three versions of hybrid PCR ...
Jian-Ying Rong, Xu-Qing Liu
core   +1 more source

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

open access: yesJ Appl Stat, 2022
Lukman AF   +3 more
europepmc   +1 more source

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

open access: yes
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   +3 more
core  

Improved estimators in Bell regression model with application

open access: yes
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   +2 more
core  

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