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Palgrave Macmillan
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Credit Scoring, Response Modeling, and Insurance Rating

A Practical Guide to Forecasting Consumer Behavior

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  • © 2012

Overview

Authors:
  1. Steven Finlay
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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xvii
    Download chapter PDF

  2. Introduction

    • Steven Finlay
    Pages 1-29

  3. Project Planning

    • Steven Finlay
    Pages 30-65

  4. Sample Selection

    • Steven Finlay
    Pages 66-88

  5. Gathering and Preparing Data

    • Steven Finlay
    Pages 89-113

  6. Understanding Relationships in Data

    • Steven Finlay
    Pages 114-143

  7. Data Transformation (Pre-processing)

    • Steven Finlay
    Pages 144-164

  8. Model Construction (Parameter Estimation)

    • Steven Finlay
    Pages 165-202

  9. Validation, Model Performance and Cut-off Strategy

    • Steven Finlay
    Pages 203-233

  10. Sample Bias and Reject Inference

    • Steven Finlay
    Pages 234-253

  11. Implementation and Monitoring

    • Steven Finlay
    Pages 254-263

  12. Multi-model (Fusion) Systems

    • Steven Finlay
    Pages 264-272

  13. Further Topics

    • Steven Finlay
    Pages 273-280

  14. Back Matter

    Pages 281-297
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Keywords

About this book

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.

About the author

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 School, UK.

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