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Credit scoring, response modeling, a...

Finlay, Steven, (1969-)

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

Record Type:	Electronic resources : 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.
[NT 15003449]:	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.
Subject:	Credit analysis. -
Online resource:	http://link.springer.com/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:

749169
Credit analysis.
Index Terms--Genre/Form:

542853
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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100 1 $a Finlay, Steven, $d 1969- $3 1083593
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 749169
650 0 $a Consumer behavior $x Forecasting. $3 1599207
650 0 $a Consumer credit. $3 671147
650 7 $a BUSINESS & ECONOMICS / Banks & Banking $2 bisacsh $3 1599208
650 7 $a BUSINESS & ECONOMICS / Finance $2 bisacsh $3 1599209
650 7 $a COMPUTERS / Data Processing $2 bisacsh $3 1599210
650 7 $a BUSINESS & ECONOMICS / Consumer Behavior $2 bisacsh $3 1598500
650 7 $a BUSINESS & ECONOMICS / Statistics $2 bisacsh $3 1599211
655 4 $a Electronic books. $2 lcsh $3 542853
776 0 8 $i Print version: $a Finlay, Steven, 1969- $t Credit scoring, response modeling, and insurance rating. $b 2nd ed. $d Houndmills, Basingstoke, Hampshire ; New York : Palgrave Macmillan, 2012 $z 9780230347762 $w (DLC) 2012020669 $w (OCoLC)785873593
856 4 0 $3 Palgrave Connect $u http://link.springer.com/10.1057/9781137031693
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938 $a Coutts Information Services $b COUT $n 23144444
938 $a EBSCOhost $b EBSC $n 475319
994 $a C0 $b TEF