File:FRAUD CLASSIFICATION DETECTION IN DOD CONTRACTS USING A STATISTICAL ANALYSIS PERSPECTIVE (IA fraudclassificat1094561201).pdf
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FRAUD CLASSIFICATION DETECTION IN DOD CONTRACTS USING A STATISTICAL ANALYSIS PERSPECTIVE
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| Author |
Kidwell, Joshua M. |
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| Title |
FRAUD CLASSIFICATION DETECTION IN DOD CONTRACTS USING A STATISTICAL ANALYSIS PERSPECTIVE |
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| Publisher |
Monterey, CA; Naval Postgraduate School |
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| Description |
The purpose of this research was to propose data analysis methods to discover statistical relationships of contract data contained in the Federal Procurement Data System (FPDS) and fraud indicators. The primary means by which this research was conducted was by analyzing a sample of contracts associated with fraud investigations in the FPDS and collecting any statistical data related to types of contracts, the fraud statute investigated, and other contract variables attributable to FPDS. The objective was to determine if there is a statistical relationship between contracts associated with fraud investigations and contract variables from a contracting officer, auditor, or investigating official’s perspective. The research findings were based on examples and illustrations of statistical relationships discovered and analyses explored as well as proposed applications of use for the data in detecting fraud in Department of Defense (DoD) contracts. Subjects: procurement; contract; fraud; FPDS; DoD; data; analytics; analysis; detection; statistical; contracting; auditing; investigation; audit |
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| Language | English | |
| Publication date | December 2018 | |
| Current location |
IA Collections: navalpostgraduateschoollibrary; fedlink |
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| Accession number |
fraudclassificat1094561201 |
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| Source | ||
| Permission (Reusing this file) |
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States. | |
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This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties under the terms of Title 17, Chapter 1, Section 105 of the US Code.
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| This file has been identified as being free of known restrictions under copyright law, including all related and neighboring rights. | ||
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| current | 18:15, 20 July 2020 |  | 1,275 × 1,650, 78 pages (1.53 MB) | Fæ (talk | contribs) | FEDLINK - United States Federal Collection fraudclassificat1094561201 (User talk:Fæ/IA books#Fork8) (batch 1993-2020 #17026) |
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