Branch Mathematics and Statistics Faculty and Staff Publications
Document Type
Article
Publication Date
12-2011
Abstract
This paper presents a family of dual to ratio-cum-product estimators for the finite population mean. Under simple random sampling without replacement (SRSWOR) scheme, expressions of the bias and mean-squared error (MSE) up to the first order of approximation are derived. We show that the proposed family is more efficient than usual unbiased estimator, ratio estimator, product estimator, Singh estimator (1967), Srivenkataramana (1980) and Bandyopadhyaya estimator (1980) and Singh et al. (2005) estimator. An empirical study is carried out to illustrate the performance of the constructed estimator over others.
Publication Title
STATISTICS IN TRANSITION-new series
Volume
12
Issue
3
First Page
587
Last Page
594
Language (ISO)
English
Keywords
Family of estimators, auxiliary variables, bias, mean-squared error
Recommended Citation
Smarandache, Florentin; Rajesh Singh; Mukesh Kumar; Pankaj Chauhan; and Nirmala Sawan.
"A GENERAL FAMILY OF DUAL TO RATIO-CUM-PRODUCT ESTIMATOR IN SAMPLE SURVEYS."
STATISTICS IN TRANSITION-new series
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Included in
Applied Statistics Commons, Design of Experiments and Sample Surveys Commons, Mathematics Commons, Other Statistics and Probability Commons, Statistical Methodology Commons
