DSpace CRIS
DSpace-CRIS consists of a data model describing objects of interest to Research and Development and a set of tools to manage the data. Standard DSpace is used to deal with publications and data sets, whereas DSpace-CRIS involves other CRIS entities: Researcher Pages, Projects, Organization Units and Second Level Dynamic Objects (single entities specialized by a profile, such as Journal, Prize, Event etc; because any profile can define its own set of properties and nested objects)
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http://hdl.handle.net/11455/75891| 標題: | 共線性資料下不同統計方法之預測能力的模擬研究 | 作者: | 邵遵文 何兆銓 郭寶錚 |
關鍵字: | 淨最小平方法;共線性;預測能力 | 出版社: | 臺中巿： 國立中興大學農學院 | Project: | 農林學報, Volume 52, Issue 3, Page(s) 81-94. | URI: | http://hdl.handle.net/11455/75891 |
| Appears in Collections: | 第52卷 第03期 農業暨自然資源學院 |
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| 147659-6.pdf | 477.87 kB | Adobe PDF | This file is only available in the university internal network |
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