scholarly journals Improving the Accuracy and Consistency of the Scalar Auxiliary Variable (SAV) Method with Relaxation

2022 ◽  
pp. 110954
Author(s):  
Maosheng Jiang ◽  
Zengyan Zhang ◽  
Jia Zhao
Keyword(s):  
2006 ◽  
Vol 1 (1) ◽  
pp. 145-168 ◽  
Author(s):  
Chris C. Holmes ◽  
Leonhard Held

2021 ◽  
pp. 58-60
Author(s):  
Naziru Fadisanku Haruna ◽  
Ran Vijay Kumar Singh ◽  
Samsudeen Dahiru

In This paper a modied ratio-type estimator for nite population mean under stratied random sampling using single auxiliary variable has been proposed. The expression for mean square error and bias of the proposed estimator are derived up to the rst order of approximation. The expression for minimum mean square error of proposed estimator is also obtained. The mean square error the proposed estimator is compared with other existing estimators theoretically and condition are obtained under which proposed estimator performed better. A real life population data set has been considered to compare the efciency of the proposed estimator numerically.


2008 ◽  
Vol 227 (3) ◽  
pp. 2012-2043 ◽  
Author(s):  
Samet Y. Kadioglu ◽  
Rupert Klein ◽  
Michael L. Minion

Sign in / Sign up

Export Citation Format

Share Document