嶺東科技大學 |

[NT 42591] Language: 簡体中文

[NT 5635] Back

[NT 59884] Switch To: [NT 5556] Labeled | [NT 5559] MARC Mode | [NT 33762] ISBD

Credit scoring, response modelling and insurance rating : a practical guide to forecasting consumer behaviour

[NT 42944] Record Type:	[NT 8598] Electronic resources : [NT 40817] monographic
[NT 47348] Title Information:	a practical guide to forecasting consumer behaviour
[NT 47261] Author:	FinlaySteven, 1969-
[NT 47356] Secondary Intellectual Responsibility:	Palgrave Connect (Online service)
[NT 47351] Place of Publication:	Houndmills, Basingstoke New York
[NT 47263] Published:	Palgrave Macmillan;
[NT 47352] Year of Publication:	2010
[NT 47264] Description:	1 online resource (xiv, 280 p.)ill. :
[NT 47266] Subject:	Credit analysis. -
[NT 47266] Subject:	Consumer behavior - Forecasting. -
[NT 47266] Subject:	Consumer credit. -
[NT 47266] Subject:	BUSINESS & ECONOMICS - Consumer Behavior. -
[NT 51458] Online resource:	http://www.palgraveconnect.com/doifinder/10.1057/9780230298989An electronic book accessible through the World Wide Web; click for information
[NT 47265] Notes:	Description based on print version record.
[NT 51398] Summary:	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.
[NT 50961] ISBN:	9780230298989electronic bk.
[NT 50961] ISBN:	0230298982electronic bk.
[NT 50961] ISBN:	9780230577046hardback
[NT 50961] ISBN:	0230577040hardback
[NT 60779] Content Note:	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.

Credit scoring, response modelling and insurance rating : a practical guide to forecasting consumer behaviour
Finlay, Steven

Credit scoring, response modelling and insurance rating : a practical guide to forecasting consumer behaviour / Steven Finlay. - Houndmills, Basingstoke New York : Palgrave Macmillan, 2010. - 1 online resource (xiv, 280 p.) ; ill..
Project Planning.
Description based on print version record..
Includes bibliographical references and index..
ISBN 9780230298989ISBN 0230298982ISBN 9780230577046ISBN 0230577040
Credit analysis.Consumer behaviorConsumer credit.BUSINESS & ECONOMICS -- Forecasting. -- Consumer Behavior.

Credit scoring, response modelling and insurance rating : a practical guide to forecasting consumer behaviour
LDR:02394clm 2200301 4500 001 280220
005 20130621114636.0
009 ocn696313961
010 1 $a 9780230298989 $b electronic bk.
010 1 $a 0230298982 $b electronic bk.
010 1 $a 9780230577046 $b hardback
010 1 $a 0230577040 $b hardback
012 0 $a 9786612999215
100 $a 20140528
101 0 $a eng
102 $a gb
135 $a v
200 1 $a Credit scoring, response modelling and insurance rating $e a practical guide to forecasting consumer behaviour $f Steven Finlay.
204 1 $a electronic resource
210 $a Houndmills, Basingstoke New York $d 2010 $c Palgrave Macmillan
215 1 $a 1 online resource (xiv, 280 p.) $c ill.
300 $a Description based on print version record.
320 $a Includes bibliographical references and index.
327 1 $a Project Planning $a Sample Selection $a Gathering and Preparing Data $a Understanding Relationships In Data $a Data Pre-Processing $a Model Construction (Parameter Estimation) $a Validation, Model Performance and Cut-off Strategy $a Sample Bias and Reject Inference $a Implementation and Monitoring.
330 $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.
606 $a Credit analysis. $3 103744
606 $a Consumer behavior $x Forecasting. $3 302627
606 $a Consumer credit. $3 140322
606 $a BUSINESS & ECONOMICS $x Consumer Behavior. $2 bisacsh $3 302628
676 $v 22 $a 658.8/342
680 $a HG3701 $b .F55 2010
700 1 $a Finlay $b Steven $f 1969- $3 302626
712 0 2 $a Palgrave Connect (Online service) $3 302425
801 0 $a tw $b ltu
856 4 0 $3 Palgrave Connect $u http://www.palgraveconnect.com/doifinder/10.1057/9780230298989 $z An electronic book accessible through the World Wide Web; click for information