Title : A comparative study of credit scorecard modeling and its discriminatory power using concordance probability

Type of Material: Thesis
Title: A comparative study of credit scorecard modeling and its discriminatory power using concordance probability
Researcher: Dilsha M.
Guide: Kiruthika
Department: Department of Statistics
Publisher: Pondicherry University, Puducherry
Place: Pondicherry
Year: 2015
Language: English
Subject: Artificial Neural Network
Concordance Probability
Credit Scorecard
Predictive Clustering
Support Vector Machine
Statistics
Dissertation/Thesis Note: PhD; Department of Statistics, Pondicherry University, Puducherry, Pondicherry; 2015
Fulltext: Shodhganga

00000000ntm a2200000ua 4500
001448793
003IN-AhILN
0052023-07-26 16:47:17
008__230726t2015||||ii#||||g|m||||||||||eng||
035__|a(IN-AhILN)th_448793
040__|aPNDI_605104|dIN-AhILN
041__|aeng
100__|aDilsha M.|eResearcher
110__|aDepartment of Statistics|bPondicherry University, Puducherry|dPondicherry|ein
245__|aA comparative study of credit scorecard modeling and its discriminatory power using concordance probability
260__|aPondicherry|bPondicherry University, Puducherry|c2015
300__|ax, 133p.|dDVD
502__|bPhD|cDepartment of Statistics, Pondicherry University, Puducherry, Pondicherry|d2015
518__|oDate of Registration|d2010-11-29
650__|aStatistics|2UGC
653__|aArtificial Neural Network
653__|aConcordance Probability
653__|aCredit Scorecard
653__|aPredictive Clustering
653__|aSupport Vector Machine
700__|aKiruthika|eGuide
856__|uhttp://shodhganga.inflibnet.ac.in/handle/10603/215189|yShodhganga
905__|afromsg

User Feedback Comes Under This section.