English  |  正體中文  |  简体中文  |  Items with full text/Total items : 85800/114447 (75%)
Visitors : 22911712      Online Users : 93
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/60832


    Title: The Development of Industrial Parks in Taiwan
    Authors: Hsu,Shih-Jung;Liao,Li-Min
    Contributors: 政大地政系
    Keywords: Sensitivity;specificity;threshold;misc/assiftcation;total cost;residential mortgage
    Date: 2009-09
    Issue Date: 2013-09-13 14:10:18 (UTC+8)
    Abstract: Diagnostic tests play a critical role in determining the default of residential mortgages. Numerous studies have attempted to screen the factors associated with the default or to examine the recovery rate of a residential mortgage. This study aims to search for an appropriate threshold probability for predicting a residential mortgage loan to be default. On one hand, some studies have used the estimated probability of 0.5 for a loan to be default; on the other hand, other studies have used the estimated probability where the lowest prediction error rate occurs. In our study, 2624 residential mortgage loans, including 249 of default and 2375 of paid-off, were collected. As for the comparison among the three thresholds, the third predictive method for binary logistic regression model provides more stable correct prediction rate, sensitivity and specificity, than the other two threshold do.
    Relation: Journal of Statistics & Management Systems, 13(3), 501-513
    Data Type: article
    Appears in Collections:[地政學系] 期刊論文

    Files in This Item:

    There are no files associated with this item.



    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback