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Credit scoring, response modeling and insurance rating: a practical guide to forecasting consumer behavior

Research output: Book/Report/ProceedingsBook

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Credit scoring, response modeling and insurance rating: a practical guide to forecasting consumer behavior. / Finlay, Steven.
2nd ed. ed. Basingstoke: Palgrave, 2012. 320 p.

Research output: Book/Report/ProceedingsBook

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@book{f3160355970b478da98c8e8dce3adb38,
title = "Credit scoring, response modeling and insurance rating: a practical guide to forecasting consumer behavior",
abstract = "This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.",
keywords = "predictive analytics, predictive modelling, predictive modeling, forecasting, data mining, credit scoring, consumer credit",
author = "Steven Finlay",
year = "2012",
month = jun,
day = "30",
language = "English",
isbn = "9780230347762",
publisher = "Palgrave",
edition = "2nd ed.",

}

RIS

TY - BOOK

T1 - Credit scoring, response modeling and insurance rating

T2 - a practical guide to forecasting consumer behavior

AU - Finlay, Steven

PY - 2012/6/30

Y1 - 2012/6/30

N2 - This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.

AB - This book provides a step-by-step guide to how predictive analytics is used by some of the world's most influential organizations. This includes international banks, leading insurance providers, credit reference agencies and national governments. It covers all stages of the predictive analytics process, including project management, data collection, sampling, data transformation and pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.

KW - predictive analytics

KW - predictive modelling

KW - predictive modeling

KW - forecasting

KW - data mining

KW - credit scoring

KW - consumer credit

M3 - Book

SN - 9780230347762

BT - Credit scoring, response modeling and insurance rating

PB - Palgrave

CY - Basingstoke

ER -