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)
Learn More
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11455/75892| 標題: | 共線性資料下不同準則對PLS中決定最佳因子數的模擬研究 | 作者: | 廖宜倫 何兆銓 郭寶錚 |
關鍵字: | 淨最小平方法;共線性資料;交叉驗證法;模擬研究 | 出版社: | 臺中巿： 國立中興大學農學院 | Project: | 農林學報, Volume 52, Issue 4, Page(s) 1-10. | URI: | http://hdl.handle.net/11455/75892 |
| Appears in Collections: | 第52卷 第04期 農業暨自然資源學院 |
Show full item record
TAIR Related Article
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.