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

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Credit scoring, response modeling, and insurance rating/ Steven Finlay.
Reminder of title:	a practical guide to forecasting consumer behavior /
Author:	Finlay, Steven,
Published:	Houndmills, Basingstoke, Hampshire ;Palgrave Macmillan, : 2012.,
Description:	1 online resource (xvii, 297 p.) :ill. :
Subject:	Credit analysis. -
Online resource:	http://www.palgraveconnect.com/doifinder/10.1057/9781137031693
ISBN:	9781137031693 (electronic bk.)

Credit scoring, response modeling, and insurance rating = a practical guide to forecasting consumer behavior /
Finlay, Steven,1969-

Credit scoring, response modeling, and insurance ratinga practical guide to forecasting consumer behavior /[electronic resource] :Steven Finlay. - 2nd ed. - Houndmills, Basingstoke, Hampshire ;Palgrave Macmillan,2012. - 1 online resource (xvii, 297 p.) :ill.

Includes bibliographical references and index.

Project Planning -- Sample Selection -- Gathering and Preparing Data -- Understanding Relationships in Data -- Data Transformation (Pre-processing) -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring -- Multi-model (Fusion) Systems.

Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. 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.

ISBN: 9781137031693 (electronic bk.)

Standard No.: 9786613845115

Source: 532806Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:

591551
Credit analysis.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: HG3701 / .F55 2012

Dewey Class. No.: 658.8/342

Credit scoring, response modeling, and insurance rating = a practical guide to forecasting consumer behavior /
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245 1 0 $a Credit scoring, response modeling, and insurance rating $h [electronic resource] : $b a practical guide to forecasting consumer behavior / $c Steven Finlay.
250 $a 2nd ed.
260 $a Houndmills, Basingstoke, Hampshire ; $a New York : $b Palgrave Macmillan, $c 2012.
300 $a 1 online resource (xvii, 297 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Project Planning -- Sample Selection -- Gathering and Preparing Data -- Understanding Relationships in Data -- Data Transformation (Pre-processing) -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring -- Multi-model (Fusion) Systems.
520 $a Within all large consumer facing organizations, most decisions about how to deal with people are made automatically by computerized decision making systems. Information about people, their lifestyle and past behavior are used to predict how they are expected to behave in the future. It can be determined if someone applying for a bank loan will make their repayments, who will respond to a marketing communication and the likelihood that someone will claim on their insurance policy. 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.
588 $a Description based on print version record.
650 0 $a Credit analysis. $3 591551
650 0 $a Consumer behavior $x Forecasting. $3 860474
650 0 $a Consumer credit. $3 571328
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650 7 $a BUSINESS & ECONOMICS / Consumer Behavior $2 bisacsh $3 859646
650 7 $a BUSINESS & ECONOMICS / Statistics $2 bisacsh $3 860475
655 4 $a Electronic books. $2 local $3 554714
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