Fraud Classification Detection in DoD Contracts Using a Statistical Analysis Perspective

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 officials 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.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2018
Accession Number
AD1069623

Entities

People

  • Joshua M. Kidwell

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • California
  • Commerce
  • Contracts
  • Data Analysis
  • Data Mining
  • Department Of Defense
  • Government Procurement
  • Governments
  • Information Science
  • Literature Surveys
  • Risk
  • Risk Analysis
  • Small Business
  • Statistical Analysis
  • United States

Readers

  • Government Contracting/Procurement.
  • Regression Analysis.
  • Theoretical Analysis.