Please use this identifier to cite or link to this item:
https://scholarbank.nus.edu.sg/handle/10635/14616
| DC Field | Value | |
|---|---|---|
| dc.title | Data reduction with RSS methodology | |
| dc.contributor.author | MIN HUANG | |
| dc.date.accessioned | 2010-04-08T10:45:00Z | |
| dc.date.available | 2010-04-08T10:45:00Z | |
| dc.date.issued | 2005-05-01 | |
| dc.identifier.citation | MIN HUANG (2005-05-01). Data reduction with RSS methodology. ScholarBank@NUS Repository. | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/14616 | |
| dc.description.abstract | The availability of vast amount of information often lead to information overload in many fields, such as industries and market research, which hinders the effective usage of information. In this thesis, we consider ranked set sampling as a data reduction tool. | |
| dc.language.iso | en | |
| dc.subject | DATA REDUCTION , RANKED SET SAMPLING | |
| dc.type | Thesis | |
| dc.contributor.department | STATISTICS & APPLIED PROBABILITY | |
| dc.contributor.supervisor | CHEN ZEHUA | |
| dc.description.degree | Master's | |
| dc.description.degreeconferred | MASTER OF SCIENCE | |
| dc.identifier.isiut | NOT_IN_WOS | |
| Appears in Collections: | Master's Theses (Open) | |
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| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| Thesismin.pdf | 567.54 kB | Adobe PDF | OPEN | None | View/Download |
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