On Improving RatioProduct Estimator by RatioProduct-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information
Joint Authors
Dialsingh, I.
Shirley, Angela
Sahai, Ashok
Source
Journal of Probability and Statistics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-23
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
To achieve a more efficient use of auxiliary information we propose single-parameter ratio/product-cum-mean-per-unit estimators for a finite population mean in a simple random sample without replacement when the magnitude of the correlation coefficient is not very high (less than or equal to 0.7).
The first order large sample approximation to the bias and the mean square error of our proposed estimators are obtained.
We use simulation to compare our estimators with the well-known sample mean, ratio, and product estimators, as well as the classical linear regression estimator for efficient use of auxiliary information.
The results are conforming to our motivating aim behind our proposition.
American Psychological Association (APA)
Shirley, Angela& Sahai, Ashok& Dialsingh, I.. 2014. On Improving RatioProduct Estimator by RatioProduct-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information. Journal of Probability and Statistics،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042818
Modern Language Association (MLA)
Shirley, Angela…[et al.]. On Improving RatioProduct Estimator by RatioProduct-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information. Journal of Probability and Statistics No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1042818
American Medical Association (AMA)
Shirley, Angela& Sahai, Ashok& Dialsingh, I.. On Improving RatioProduct Estimator by RatioProduct-cum-Mean-per-Unit Estimator Targeting More Efficient Use of Auxiliary Information. Journal of Probability and Statistics. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042818
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042818