Credit scoring, response modelling a...
Finlay, Steven, (1969-)

 

  • Credit scoring, response modelling and insurance rating[electronic resource] :a practical guide to forecasting consumer behaviour /
  • 紀錄類型: 書目-語言資料,印刷品 : Monograph/item
    杜威分類號: 658.8/342
    書名/作者: Credit scoring, response modelling and insurance rating : a practical guide to forecasting consumer behaviour // Steven Finlay.
    作者: Finlay, Steven,
    出版者: Houndmills, Basingstoke ; : Palgrave Macmillan,, 2010.
    面頁冊數: 1 online resource (xiv, 280 p.) : : ill.
    標題: Credit analysis.
    標題: Consumer behavior - Forecasting.
    標題: Consumer credit.
    標題: BUSINESS & ECONOMICS - Consumer Behavior.
    ISBN: 9780230298989 (electronic bk.)
    ISBN: 0230298982 (electronic bk.)
    ISBN: 9780230577046 (hardback)
    ISBN: 0230577040 (hardback)
    書目註: Includes bibliographical references and index.
    內容註: Project Planning -- Sample Selection -- Gathering and Preparing Data -- Understanding Relationships In Data -- Data Pre-Processing -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring.
    摘要、提要註: Within the financial services industry today, most decisions on how to deal with consumers are made automatically by computerized decision making systems. At the heart of these systems lie mathematically derived forecasting models. These use information about people and their past behaviour, to predict how people are likely to behave in the future. For example, who is likely to repay a loan, who will respond to a mail shot and the likelihood that someone will claim on their household insurance policy. Decisions about how to treat people are then made on the basis of the predictions calculated by the system. This book provides a step-by-step guide to how the forecasting models used by the worlds leading financial institutions are developed and deployed. It covers all stages involved in the construction of such a model, including project management, data collection, sampling, data pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.
    電子資源: An electronic book accessible through the World Wide Web; click for information
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