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READINGS IN CREDIT SCORING


THOMAS L.

wydawnictwo: OXFORD , rok wydania 2004, wydanie I

cena netto: 450.00 Twoja cena  427,50 zł + 5% vat - dodaj do koszyka

Unique collection of papers on one of the most successful techniques in finance

Well-known and experienced author team

Highly topical with a broad appeal

A collection of papers, accompanied by extensive discussion and commentary, by leading workers in credit scoring, this text focuses on recent developments and advances in this important area.


Readership: Statisticians, economists, operational researchers and mathematicians working in industry. Graduate and undergraduate students in statistics studying credit scoring and data mining.


Table of Contents

  • A: Historical development of credit and behavioural scoring
  • R W Johnson: Legal, social and economic issues in implementing scoring in the US
  • R Eisenbeis: Problems in applying discriminant analysis in credit scoring models
  • M A Hopper and E M Lewis: Behaviour scoring and adaptive control systems
  • B: Objectives and measures in credit scoring
  • A D Wilkie: Measures for comparing scoring systems
  • G Wilkinson and J Tingay: The use of affordability data - does it add real value?
  • R L Keeney and R M Oliver: Improving lender offers using consumer preferences
  • C: Practical implementation of scoring systems
  • A Lucas: Updating scorecards: Removing the mystique
  • R M Oliver and E Wells: Efficient frontier cut-off policies in credit portfolios
  • D: Features of scoring
  • D J Hand and W E Henley: Can reject inference ever work?
  • G A Overstreet Jr, E L Bradley, and R S Kemp Jr: The flat-maximum effect and generic linear scoring models: a test
  • J N Crook, L C Thomas, and R Hamilton: The degradation of the scorecard over the business cycle
  • G Bennett, G Platts, and J Crossley: Inferring the inferred
  • E: Other applications of scoring in credit risk
  • K J Leonard: Detecting credit card fraud using expert systems
  • G Platts and I Howe: A single European scorecard
  • A Lucas and J Powell: Small sample scoring
  • F: Alternative approaches to scoring systems
  • B Narain: Survival analysis and the credit granting decision
  • P Sewart and J Whittaker: Graphical models in credit scoring
  • M B Yobas, J N Crook, and P Ross: Credit scoring using neural and evolutionary techniques
  • J Ho, L C Thomas, T A Pomrey, and W T Scherer: Segmenting in Markov chain consumer credit behaviour models

320 pages

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