Sample Bias and Reject Inference
Steven Finlay
Chapter 9 in Credit Scoring, Response Modeling, and Insurance Rating, 2012, pp 234-253 from Palgrave Macmillan
Abstract:
Abstract Credit scoring models that predict the likelihood of someone repaying the credit they have applied for suffer from a problem known as sample bias.1 Consider the flow through a typical credit card application process, as shown in Figure 9.1. Figure 9.1 Population flow
Keywords: Credit Card; Trend Line; Insurance Rate; Inference Method; Surrogate Data (search for similar items in EconPapers)
Date: 2012
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pal:palchp:978-1-137-03169-3_9
Ordering information: This item can be ordered from
http://www.palgrave.com/9781137031693
DOI: 10.1057/9781137031693_9
Access Statistics for this chapter
More chapters in Palgrave Macmillan Books from Palgrave Macmillan
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().