In this paper, we have proposed a class of mixture regression-cum-ratio estimator for estimating population mean by using information on multiple auxiliary vari
Experimental studies are usually designed with specific expectations about the results in mind. However, most researchers apply some form of omnibus test to tes
This study evaluated the effect of item inversion on the construct validity and reliability of psychometric scales and proposed a theoretical framework for the
The paper introduces a new biased estimator namely Generalized Optimal Estimator (GOE) in a multiple linear regression when there exists multicollinearity among