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Credit Scoring, Response Modelling and Insurance Rating: A Practical Guide to Forecasting Consumer Behaviour

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Introduction 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 Further Topics Bibliography

296 pages, Paperback

First published October 27, 2010

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Steven Finlay

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