Results 71 to 80 of about 197,245 (124)

Characterizations of the Shakil-Kibria-Singh Distribution

open access: yes, 2016
Characterizations of a continuous univariate distribution due to Shakil, Kibria and Singh (2010) (SKS), based on a simple relationship between two truncated moments is presented.
G.G. Hamedani
core   +1 more source

Developing the generalized Dawoud-Kibria estimator for the multinomial logistic model: Simulation study and application

open access: yes
The multinomial logistic regression model (MLRM) is commonly used to analyze relationships between a categorical response variable and multiple explanatory variables.
Mohammed Naji Al-Ghamdi   +3 more
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

REFERRING TERMS DALAM SURAT LUKMAN

open access: yes, 2019
Penelitian referring terms dalam Surat Lukman bertujuan untuk mendeskripsikan referring terms dalam Al-Quran yang memfokuskan pada Surat Lukman pada bentuk definite/indefinite, explicit/inexplicit, speaker meaning, and the implicatur of referring terms ...
Rachim Gege, M. Yazid Abd.
core   +1 more source

Robust Kibria Estimators for Mitigating Multicollinearity and Outliers in a Linear Regression Model

open access: yes
In the presence of multicollinearity, the ordinary least squares (OLS) estimators, aside from BLUE (best linear unbiased estimator), lose efficiency and fail to achieve minimum variance.
Sajid Ali   +3 more
core   +1 more source

Predictive modelling of COVID-19 confirmed cases in Nigeria. [PDF]

open access: yesInfect Dis Model, 2020
Ogundokun RO   +4 more
europepmc   +1 more source

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

open access: yes
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

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