A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company

碩士 === 國立臺北大學 === 統計學系 === 97 === In this research, the data of customer's basic informations and accounts receivable status from an electronic company in 2007, a total sample of 224 customers, were collected. First, the customers were grouped by account receivable status with cluster analysis....

Full description

Bibliographic Details
Main Authors:	Hsu Fang Ying, 許芳瑛
Other Authors:	施葦
Format:	Others
Language:	zh-TW
Published:	2009
Online Access:	http://ndltd.ncl.edu.tw/handle/06753467067038171453

id	ndltd-TW-097NTPU0337025
record_format	oai_dc
spelling	ndltd-TW-097NTPU03370252015-10-13T13:11:49Z http://ndltd.ncl.edu.tw/handle/06753467067038171453 A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company 台灣中小企業往來客戶分群及帳務逾期預測模式之研究-以某電子公司為例 Hsu Fang Ying 許芳瑛碩士國立臺北大學統計學系 97 In this research, the data of customer's basic informations and accounts receivable status from an electronic company in 2007, a total sample of 224 customers, were collected. First, the customers were grouped by account receivable status with cluster analysis. The characteristics of each group were identified with basic statistical description, the chi-square test of independence and ANOVA method. Second, the account overdue prediction model was established by logistic regression method that provided small and medium enterprises the use of credit in the financial management. 施葦 2009 學位論文 ; thesis 76 zh-TW
collection	NDLTD
language	zh-TW
format	Others
sources	NDLTD
description	碩士 === 國立臺北大學 === 統計學系 === 97 === In this research, the data of customer's basic informations and accounts receivable status from an electronic company in 2007, a total sample of 224 customers, were collected. First, the customers were grouped by account receivable status with cluster analysis. The characteristics of each group were identified with basic statistical description, the chi-square test of independence and ANOVA method. Second, the account overdue prediction model was established by logistic regression method that provided small and medium enterprises the use of credit in the financial management.
author2	施葦
author_facet	施葦 Hsu Fang Ying 許芳瑛
author	Hsu Fang Ying 許芳瑛
spellingShingle	Hsu Fang Ying 許芳瑛 A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company
author_sort	Hsu Fang Ying
title	A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company
title_short	A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company
title_full	A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company
title_fullStr	A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company
title_full_unstemmed	A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company
title_sort	research on customer clustering and accounts overdue prediction model for small and medium enterprise in taiwan-quote by an electronic company
publishDate	2009
url	http://ndltd.ncl.edu.tw/handle/06753467067038171453
work_keys_str_mv	AT hsufangying aresearchoncustomerclusteringandaccountsoverduepredictionmodelforsmallandmediumenterpriseintaiwanquotebyanelectroniccompany AT xǔfāngyīng aresearchoncustomerclusteringandaccountsoverduepredictionmodelforsmallandmediumenterpriseintaiwanquotebyanelectroniccompany AT hsufangying táiwānzhōngxiǎoqǐyèwǎngláikèhùfēnqúnjízhàngwùyúqīyùcèmóshìzhīyánjiūyǐmǒudiànzigōngsīwèilì AT xǔfāngyīng táiwānzhōngxiǎoqǐyèwǎngláikèhùfēnqúnjízhàngwùyúqīyùcèmóshìzhīyánjiūyǐmǒudiànzigōngsīwèilì AT hsufangying researchoncustomerclusteringandaccountsoverduepredictionmodelforsmallandmediumenterpriseintaiwanquotebyanelectroniccompany AT xǔfāngyīng researchoncustomerclusteringandaccountsoverduepredictionmodelforsmallandmediumenterpriseintaiwanquotebyanelectroniccompany
_version_	1717734352485351424

A Research On Customer Clustering And Accounts Overdue Prediction Model For Small And Medium Enterprise In Taiwan-Quote By An Electronic Company

Similar Items