Credit Scoring, Response Modeling, and Insurance Rating: A Practical Guide to Forecasting Consumer…

Hardcover | August 7, 2012

bySteven Finlay

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A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insurance.

 

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From the Publisher

A guide on how Predictive Analytics is applied and widely used by organizations such as banks, insurance providers, supermarkets and governments to drive the decisions they make about their customers, demonstrating who to target with a promotional offer, who to give a credit card to and the premium someone should pay for home insuranc...

STEVEN FINLAY has worked in the field of predictive analytics for over fifteen years. His research interests cover all areas of predictive analytics, forecasting and data mining. He is currentlya Predictive Analytics Specialist, working for the UK Government, and is a visiting research fellow within the Lancaster University Management...

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Format:HardcoverDimensions:320 pages, 8.88 × 5.73 × 1 inPublished:August 7, 2012Publisher:Palgrave MacmillanLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0230347762

ISBN - 13:9780230347762

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Table of Contents

IntroductionProject PlanningSample SelectionGathering and Preparing DataUnderstanding Relationships in DataData Transformation (Pre-processing)Model Construction (Parameter Estimation) Validation, Model Performance and Cut-off StrategySample Bias and Reject InferenceImplementation and Monitoring Multi-model (Fusion) SystemsFurther TopicsBibliography