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A Two-Parameter Ratio-Product-Ratio Estimator Using Auxiliary Information
Joint Authors
Sing, Bernd
Chami, Peter S.
Thomas, Doneal
Source
ISRN Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-14
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
We propose a two-parameter ratio-product-ratio estimator for a finite population mean in a simple random sample without replacement following the methodology in the studies of Ray and Sahai (1980), Sahai and Ray (1980), A.
Sahai and A.
Sahai (1985), and Singh and Espejo (2003).The bias and mean squared error of our proposed estimator are obtained to the first degree of approximation.
We derive conditions for the parameters under which the proposed estimator has smaller mean squared error than the sample mean, ratio, and product estimators.
We carry out an application showing that the proposed estimator outperforms the traditional estimators using groundwater data taken from a geological site in the state of Florida.
American Psychological Association (APA)
Chami, Peter S.& Sing, Bernd& Thomas, Doneal. 2012. A Two-Parameter Ratio-Product-Ratio Estimator Using Auxiliary Information. ISRN Probability and Statistics،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-446619
Modern Language Association (MLA)
Chami, Peter S.…[et al.]. A Two-Parameter Ratio-Product-Ratio Estimator Using Auxiliary Information. ISRN Probability and Statistics No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-446619
American Medical Association (AMA)
Chami, Peter S.& Sing, Bernd& Thomas, Doneal. A Two-Parameter Ratio-Product-Ratio Estimator Using Auxiliary Information. ISRN Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-446619
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-446619