Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks
Joint Authors
Chutiman, Nipaporn
Chiangpradit, Monchaya
Source
Journal of Probability and Statistics
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-27
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
In this paper, we study the estimators of the population total in adaptive cluster sampling by using the information of the auxiliary variable.
The numerical examples showed that the ratio estimator in adaptive cluster sampling without replacement of networks is more efficient than the ratio estimators in adaptive cluster sampling without replacement of units.
American Psychological Association (APA)
Chutiman, Nipaporn& Chiangpradit, Monchaya. 2014. Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks. Journal of Probability and Statistics،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042830
Modern Language Association (MLA)
Chutiman, Nipaporn& Chiangpradit, Monchaya. Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks. Journal of Probability and Statistics No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1042830
American Medical Association (AMA)
Chutiman, Nipaporn& Chiangpradit, Monchaya. Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks. Journal of Probability and Statistics. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1042830
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042830
