Copula-based estimation of causal effects in multiple linear and path analysis models
Regression analysis is one of the most popularly used statistical technique which only
measures the direct effect of independent variables on dependent variable. Path analysis …
measures the direct effect of independent variables on dependent variable. Path analysis …
A New General Ridge-Type Estimator in Linear Regression Models: Accepted-January 2024
In linear regression models, researchers develop new biased estimators to alleviate the
effects of multicollinearity, rather than using the Ordinary Least Squares (OLS) method which …
effects of multicollinearity, rather than using the Ordinary Least Squares (OLS) method which …
A New biased estimator and variations based on the Kibria Lukman Estimator
One of the problems encountered in linear regression models is called multicollinearity
problem which is an approximately linear relationship between the explanatory variables …
problem which is an approximately linear relationship between the explanatory variables …