Proceedings of the Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support

Audits and logistic regression, deciding what really matters in service processes. A case study of a government funding agency for research grants

Authors
Robert Wayne Samohyl
Corresponding Author
Robert Wayne Samohyl
Available Online October 2013.
DOI
https://doi.org/10.2991/.2013.33How to use a DOI?
Keywords
Logistic regression; ROC curve; probability; audits; government; research grants
Abstract
Governmental agencies, businesses and nongovernmental organizations experience repetitive and out-of-date processes causing resource waste. Banks, credit card companies and tax authorities must evaluate whether creditors have fulfilled their obligations, and funding agencies should verify the use of funds by grant recipients. Here logistic regression estimates the probability of conformity of grants to the financial obligations of the researcher analyzing the correlation between characteristics of the grant and the grant´s final status as approved or not. The logistic equation uncovers relevant characteristics through an analysis of false positives. A ROC curve is constructed which reveals an optimal cutoff for nonconformity.
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Proceedings
Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90-78677-86-4
ISSN
1951-6851
DOI
https://doi.org/10.2991/.2013.33How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Robert Wayne Samohyl
PY  - 2013/10
DA  - 2013/10
TI  - Audits and logistic regression, deciding what really matters in service processes. A case study of a government funding agency for research grants
BT  - Fourth International Workshop on Knowledge Discovery, Knowledge Management and Decision Support
PB  - Atlantis Press
SP  - 267
EP  - 282
SN  - 1951-6851
UR  - https://doi.org/10.2991/.2013.33
DO  - https://doi.org/10.2991/.2013.33
ID  - Samohyl2013/10
ER  -