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/11455/73681| 標題: | 技術指標與股價漲跌幅非線性關係之獲利能力之探討 | 作者: | 林金賢 李淑惠 |
關鍵字: | Efficient market;效率市場;Neuro fuzzy;CRISMA;Markowitz portfolio;類神經模糊;馬克維茲投資組合 | 出版社: | 臺中市：國立中興大學企業管理學系財務金融學系 | Project: | 臺灣管理學刊, Volume 6, Issue 1, Page(s) 129-156. | URI: | http://hdl.handle.net/11455/73681 |
| Appears in Collections: | 管理學院 第06卷 第01期 |
Files in This Item:
| File | Size | Format | Existing users please Login |
|---|---|---|---|
| 143605-6.pdf | 1.45 MB | Adobe PDF | This file is only available in the university internal network Request a copy |
TAIR Related Article
Google ScholarTM
Check
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.