FRAUD CLASSIFICATION DETECTION IN DOD CONTRACTS USING A STATISTICAL ANALYSIS PERSPECTIVE
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Authors
Kidwell, Joshua M.
Subjects
procurement
contract
fraud
FPDS
DoD
data
analytics
analysis
detection
statistical
contracting
auditing
investigation
audit
contract
fraud
FPDS
DoD
data
analytics
analysis
detection
statistical
contracting
auditing
investigation
audit
Advisors
Rendon, Rene G.
Rendon, Juanita M.
Muir, William A.
Date of Issue
2018-12
Date
Publisher
Monterey, CA; Naval Postgraduate School
Language
Abstract
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.
Type
Thesis
Description
MBA Professional Project
Series/Report No
Department
Graduate School of Business and Public Policy (GSBPP)
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Distribution Statement
Rights
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.