國立高雄大學圖資館 |

Language: English

Back

Credit scoring, response modelling and insurance ratinga practical guide to forecasting consumer behaviour /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Credit scoring, response modelling and insurance ratingSteven Finlay.
Reminder of title:	a practical guide to forecasting consumer behaviour /
Author:	Finlay, Steven,
Published:	Houndmills, Basingstoke ;Palgrave Macmillan,2010.
Description:	1 online resource (xiv, 280 p.) :ill.
Subject:	Credit analysis.
Online resource:	An electronic book accessible through the World Wide Web; click for information
ISBN:	9780230298989 (electronic bk.)

Credit scoring, response modelling and insurance ratinga practical guide to forecasting consumer behaviour /
Finlay, Steven,1969-

Credit scoring, response modelling and insurance ratinga practical guide to forecasting consumer behaviour /[electronic resource] :Steven Finlay. - Houndmills, Basingstoke ;Palgrave Macmillan,2010. - 1 online resource (xiv, 280 p.) :ill.

Includes bibliographical references and index.

Project Planning -- Sample Selection -- Gathering and Preparing Data -- Understanding Relationships In Data -- Data Pre-Processing -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring.

Within the financial services industry today, most decisions on how to deal with consumers are made automatically by computerized decision making systems. At the heart of these systems lie mathematically derived forecasting models. These use information about people and their past behaviour, to predict how people are likely to behave in the future. For example, who is likely to repay a loan, who will respond to a mail shot and the likelihood that someone will claim on their household insurance policy. Decisions about how to treat people are then made on the basis of the predictions calculated by the system. This book provides a step-by-step guide to how the forecasting models used by the worlds leading financial institutions are developed and deployed. It covers all stages involved in the construction of such a model, including project management, data collection, sampling, data pre-processing, model construction, validation, implementation and post-implementation monitoring of the model's performance.

ISBN: 9780230298989 (electronic bk.)

Standard No.: 9786612999215

Source: 335984Palgrave Macmillanhttp://www.palgraveconnect.comSubjects--Topical Terms:

202160
Credit analysis.
Index Terms--Genre/Form:

214472
Electronic books.

LC Class. No.: HG3701 / .F55 2010

Dewey Class. No.: 658.8/342

Credit scoring, response modelling and insurance ratinga practical guide to forecasting consumer behaviour /
LDR:03262cmm 2200445Ka 4500 001 401831
003 OCoLC
005 20130621114636.0
006 m o d
007 cr cn|||||||||
008 140117s2010 enka ob 001 0 eng d
019 $a 707822134 $a 707923758
020 $a 9780230298989 (electronic bk.)
020 $a 0230298982 (electronic bk.)
020 $a 9780230577046 (hardback)
020 $a 0230577040 (hardback)
024 8 $a 9786612999215
029 1 $a AU@ $b 000046932683
035 $a (OCoLC)696313961 $z (OCoLC)707822134 $z (OCoLC)707923758
035 $a ocn696313961
037 $a 335984 $b Palgrave Macmillan $n http://www.palgraveconnect.com
040 $a UKPGM $b eng $c UKPGM $d EBLCP $d CDX $d E7B $d N $d OCLCQ $d YDXCP $d OCLCQ $d REDDC $d OCLCQ
049 $a TEFA
050 4 $a HG3701 $b .F55 2010
072 7 $a BUS $x 016000 $2 bisacsh
082 0 4 $a 658.8/342 $2 22
100 1 $a Finlay, Steven, $d 1969- $3 460212
245 1 0 $a Credit scoring, response modelling and insurance rating $h [electronic resource] : $b a practical guide to forecasting consumer behaviour / $c Steven Finlay.
260 $a Houndmills, Basingstoke ; $a New York : $b Palgrave Macmillan, $c 2010.
300 $a 1 online resource (xiv, 280 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 Pre-Processing -- Model Construction (Parameter Estimation) -- Validation, Model Performance and Cut-off Strategy -- Sample Bias and Reject Inference -- Implementation and Monitoring.
520 $a Within the financial services industry today, most decisions on how to deal with consumers are made automatically by computerized decision making systems. At the heart of these systems lie mathematically derived forecasting models. These use information about people and their past behaviour, to predict how people are likely to behave in the future. For example, who is likely to repay a loan, who will respond to a mail shot and the likelihood that someone will claim on their household insurance policy. Decisions about how to treat people are then made on the basis of the predictions calculated by the system. This book provides a step-by-step guide to how the forecasting models used by the worlds leading financial institutions are developed and deployed. It covers all stages involved in the construction of such a model, including project management, data collection, sampling, data 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 202160
650 0 $a Consumer behavior $x Forecasting. $3 380988
650 0 $a Consumer credit. $3 298598
650 7 $a BUSINESS & ECONOMICS $x Consumer Behavior. $2 bisacsh $3 537800
655 4 $a Electronic books. $2 local. $3 214472
710 2 $a Palgrave Connect (Online service) $3 459825
776 0 8 $i Print version: $a Finlay, Steven, 1969- $t Credit scoring, response modelling and insurance rating. $d Houndmills, Basingstoke ; New York : Palgrave Macmillan, 2010 $z 9780230577046 $w (DLC) 2010033960 $w (OCoLC)656158847
856 4 0 $3 Palgrave Connect $u https://link.springer.com/book/10.1057/9780230298989 $z An electronic book accessible through the World Wide Web; click for information
938 $a EBL - Ebook Library $b EBLB $n EBL652337
938 $a Coutts Information Services $b COUT $n 17389118
938 $a ebrary $b EBRY $n ebr10445647
938 $a YBP Library Services $b YANK $n 3615124
938 $a EBSCOhost $b EBSC $n 356863
994 $a C0 $b TEF