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Some Improved Multivariate-Ratio-Type Estimators Using Geometric and Harmonic Means in Stratified Random Sampling
Joint Authors
Source
ISRN Probability and Statistics
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-26
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
Auxiliary variable is commonly used in survey sampling to improve the precision of estimates.
Whenever there is auxiliary information available, we want to utilize it in the method of estimation to obtain the most efficient estimator.
In this paper using multiauxiliary information we have proposed estimators based on geometric and harmonic mean.
It was also shown that estimators based on harmonic mean and geometric mean are less biased than Olkin (1958) and Singh (1967) estimators under certain conditions.
However, the MSE of Olkin (1958) estimator and geometric and harmonic estimators are same up to the first order of approximations.
American Psychological Association (APA)
Malik, Sachin& Singh, Rajesh. 2012. Some Improved Multivariate-Ratio-Type Estimators Using Geometric and Harmonic Means in Stratified Random Sampling. ISRN Probability and Statistics،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-477290
Modern Language Association (MLA)
Malik, Sachin& Singh, Rajesh. Some Improved Multivariate-Ratio-Type Estimators Using Geometric and Harmonic Means in Stratified Random Sampling. ISRN Probability and Statistics No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-477290
American Medical Association (AMA)
Malik, Sachin& Singh, Rajesh. Some Improved Multivariate-Ratio-Type Estimators Using Geometric and Harmonic Means in Stratified Random Sampling. ISRN Probability and Statistics. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-477290
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-477290