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010 a| 2021934830;

020 a| 9780192844194q| (hbk);

020 a| 0192844199q| (hbk);

035 a| (WaSeSS)ssj0002592659;

042 a| lccopycat;

049 a| EREEa| NEHH;

050 00 a| HG3751.5b| .A53 2022;

082 04 a| 658.882| 23;

100 1 a| Anderson, Raymond A.?| UNAUTHORIZED;

245 10 a| Credit intelligence & modellingh| [electronic resource] :b| many paths through the forest of credit rating and scoring /c| by Raymond A. Anderson.;

246 3 a| Credit intelligence and modelling;

250 a| Second edition.;

260 a| Oxford ;a| New York, NY :b| Oxford University Press,c| 2022.;

300 a| xxxi, 899 pages :b| illustrations ;c| 24 cm;

500 a| Earlier edition published in 2007 as: The credit scoring toolkit : theory and practice for retail credit risk management and decision automation.;

504 a| Includes bibliographical references (pages 867-884) and index.;

505 0 a| 1. Credit intelligence -- 2. Predictive modelling overview -- 3. Retail credit -- 4. Business credit -- 5. Side histories -- 6. Credit -- a microhistory -- 7. The birth of modern credit intelligence -- 8. The dawn of credit scoring -- 9. Front-door -- 10. Back-door -- 11. Stats & maths & unicorns -- 12. Borrowed measures -- 13. Practical application -- 14. Predictive modelling techniques -- 15. Project management -- 16. Data acquisition -- observation -- 17. Data acquisition -- performance -- 18. Target definition -- 19. File assembly -- 20. Sample selection -- 21. Data transformation -- 22. Segmentation -- 23. Reject-inference -- 24. Model training -- 25. Scaling and banding -- 26. Finalization.;

506 a| Available only to authorized users.;

520 a| Credit Intelligence and Modelling provides an indispensable explanation of the statistical models and methods used when assessing credit risk and automating decisions. Over eight modules, the book covers consumer and business lending in both the developed and developing worlds, providing the frameworks for both theory and practice. It first explores an introduction to credit risk assessment and predictive modelling, micro-histories of credit and credit scoring, as well as the processes used throughout the credit risk management cycle. Mathematical and statistical tools used to develop and assess predictive models are then considered, in addition to projectmanagement and data assembly, data preparation from sampling to reject inference, and finally model training through to implementation. Although the focus is credit risk, especially in the retail consumer and small-business segments, many concepts are common across disciplines, whether for academic research or practical use. The book assumes little prior knowledge, thus making it an indispensable desktop reference for students and practitioners alike. Credit Intelligence and Modelling expands on the success of The Credit Scoring Toolkit to cover credit rating and intelligence agencies, and the data and tools used as part of the process.;

538 a| Mode of access: World Wide Web;

650 0 a| Credit analysis.=| ^A612519;

650 0 a| Credit scoring systems.=| ^A815784;

650 6 a| Analyse de crédit.;

650 6 a| Évaluation par points (Crédit);

650 7 a| Credit analysis.2| fast0| (OCoLC)fst00882554;

650 7 a| Credit scoring systems.2| fast0| (OCoLC)fst00882597;

655 0 a| Electronic books.=| ^A491897;

700 1 i| Revision of (expression):a| Anderson, Raymond A.t| Credit scoring toolkit.?| UNAUTHORIZED;

710 2 a| Oxford University Press.=| ^A636469;

856 40 z| Full text available from Oxford Scholarship Onlineu| https://go.openathens.net/redirector/ecu.edu?url=https%3A%2F%2Facademic.oup.com%2Fbook%2F38955;

947 a| (OCoLC)on1299293158;

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949 a| CLICK ON WEB ADDRESSw| ASISh| JMUSIC60;

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998 a| 5830314;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5830314-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 6/16/2022x| EBOOKz| JERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5830314-2001l| HSLELECm| HSLr| Ys| Yt| HEBKu| 6/16/2022x| EBOOKz| HERESOURCE;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 5830314-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 6/16/2022x| EBOOKz| JERESOURCE;

Credit intelligence & modelling many paths through the forest of credit rating and scoring / by Raymond A. Anderson.

Author/creator	Anderson, Raymond A.
Other author	Anderson, Raymond A.
Other author	Oxford University Press.
Format	Electronic
Edition	Second edition.
Publication Info	Oxford ; New York, NY : Oxford University Press, 2022.
Description	xxxi, 899 pages : illustrations ; 24 cm
Supplemental Content	Full text available from Oxford Scholarship Online
Subjects	Credit analysis. Credit scoring systems. Analyse de crédit. Évaluation par points (Crédit)

Variant title	Credit intelligence and modelling
Contents	1. Credit intelligence -- 2. Predictive modelling overview -- 3. Retail credit -- 4. Business credit -- 5. Side histories -- 6. Credit -- a microhistory -- 7. The birth of modern credit intelligence -- 8. The dawn of credit scoring -- 9. Front-door -- 10. Back-door -- 11. Stats & maths & unicorns -- 12. Borrowed measures -- 13. Practical application -- 14. Predictive modelling techniques -- 15. Project management -- 16. Data acquisition -- observation -- 17. Data acquisition -- performance -- 18. Target definition -- 19. File assembly -- 20. Sample selection -- 21. Data transformation -- 22. Segmentation -- 23. Reject-inference -- 24. Model training -- 25. Scaling and banding -- 26. Finalization.
Abstract	Credit Intelligence and Modelling provides an indispensable explanation of the statistical models and methods used when assessing credit risk and automating decisions. Over eight modules, the book covers consumer and business lending in both the developed and developing worlds, providing the frameworks for both theory and practice. It first explores an introduction to credit risk assessment and predictive modelling, micro-histories of credit and credit scoring, as well as the processes used throughout the credit risk management cycle. Mathematical and statistical tools used to develop and assess predictive models are then considered, in addition to projectmanagement and data assembly, data preparation from sampling to reject inference, and finally model training through to implementation. Although the focus is credit risk, especially in the retail consumer and small-business segments, many concepts are common across disciplines, whether for academic research or practical use. The book assumes little prior knowledge, thus making it an indispensable desktop reference for students and practitioners alike. Credit Intelligence and Modelling expands on the success of The Credit Scoring Toolkit to cover credit rating and intelligence agencies, and the data and tools used as part of the process.
General note	Earlier edition published in 2007 as: The credit scoring toolkit : theory and practice for retail credit risk management and decision automation.
Bibliography note	Includes bibliographical references (pages 867-884) and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2021934830
ISBN	9780192844194 (hbk)
ISBN	0192844199 (hbk)

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Credit intelligence & modelling many paths through the forest of credit rating and scoring / by Raymond A. Anderson.

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