Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks
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 estimat...
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Probability and Statistics |
| Online Access: | http://dx.doi.org/10.1155/2014/726398 |
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| _version_ | 1832562011037237248 |
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| author | Nipaporn Chutiman Monchaya Chiangpradit |
| author_facet | Nipaporn Chutiman Monchaya Chiangpradit |
| author_sort | Nipaporn Chutiman |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-d44e7025f70c4042949086f1fc7c5a46 |
| institution | Kabale University |
| issn | 1687-952X 1687-9538 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Probability and Statistics |
| spelling | doaj-art-d44e7025f70c4042949086f1fc7c5a462025-02-03T01:23:42ZengWileyJournal of Probability and Statistics1687-952X1687-95382014-01-01201410.1155/2014/726398726398Ratio Estimator in Adaptive Cluster Sampling without Replacement of NetworksNipaporn Chutiman0Monchaya Chiangpradit1Department of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham 44150, ThailandDepartment of Mathematics, Faculty of Science, Mahasarakham University, Maha Sarakham 44150, ThailandIn 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.http://dx.doi.org/10.1155/2014/726398 |
| spellingShingle | Nipaporn Chutiman Monchaya Chiangpradit Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks Journal of Probability and Statistics |
| title | Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks |
| title_full | Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks |
| title_fullStr | Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks |
| title_full_unstemmed | Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks |
| title_short | Ratio Estimator in Adaptive Cluster Sampling without Replacement of Networks |
| title_sort | ratio estimator in adaptive cluster sampling without replacement of networks |
| url | http://dx.doi.org/10.1155/2014/726398 |
| work_keys_str_mv | AT nipapornchutiman ratioestimatorinadaptiveclustersamplingwithoutreplacementofnetworks AT monchayachiangpradit ratioestimatorinadaptiveclustersamplingwithoutreplacementofnetworks |