文化大學機構典藏 CCUR:Item 987654321/24172
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 46962/50828 (92%)
造访人次 : 12408364      在线人数 : 1122
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻
    主页登入上传说明关于CCUR管理 到手机版


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://irlib.pccu.edu.tw/handle/987654321/24172


    题名: An Integral Predictive Model of Financial Distress
    作者: Lee, M (Lee, Mushang)
    Wu, TC (Wu, Tsui-Chih)
    贡献者: 財金系
    关键词: financial-distress-prediction model
    stepwise regression
    data mining
    rough set
    decision tree
    neural network
    logistic regression
    日期: 2012-11
    上传时间: 2013-02-19 13:23:09 (UTC+8)
    摘要: Traditional statistic models for financial distress are subject to constraints which may lead to imprecise prediction. To contribute to the issue, we construct a two-staged integral model by applying a stepwise regression analysis and a data-mining approach. Specifically, we employ stepwise regression and rough set analysis in feature selection to sieve out variables, and perform decision tree, neural network, and logistic regression analysis to classify firms with financial distress. The findings show that the rates of accuracy for the combinations in descending order are stepwise regression-logistic, stepwise regression-neutral network, stepwise regression-decision tree, rough set theory-neutral network, rough set theory-decision tree, and rough set theory-logistic.
    關聯: JOURNAL OF TESTING AND EVALUATION 卷: 40 期: 6 頁數: 931-938
    显示于类别:[財務金融學系 ] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML368检视/开启


    在CCUR中所有的数据项都受到原著作权保护.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈