Date of Award
Master of Science
Department of Mathematics and Statistics
Edward D. White, PhD
Cost Growth in Department of Defense (DoD) major systems has been an ongoing problems for more than 30 years. Previous research has demonstrated the use of two-step logistic and multiple regression methodology to predicting cost growth produces desirable results traditional single-step regression. This research effort validates, and further explores the use of a two-step procedure for assessing DoD major weapon system cost growth using historical data. We compile programmatic data from the Selected Acquisition Reports (SARs) between 1990 and 2001 for programs covering all defense departments. Our analysis concentrates on cost growth in procurement dollar accounts for the Engineering and Manufacturing Development phase of acquisition. We investigate the use of logistic regression in cost growth analysis to predict whether or not procurement cost growth will occur in a program. If applicable, the multiple regression step is implemented to predict how much procurement cost growth will occur. Our study considers all seven SAR categories within the procurement accounts - engineering, schedule, estimating, support, quantity, economic, and other, but we refrain from analyzing these categories individually. Consequently, we focus on the total procurement cost growth incurred from these five categories during the Engineering and Manufacturing Development phase of acquisition.
DTIC Accession Number
Moore, Gary W., "Estimating Procurement Cost Growth Using Logistic and Multiple Regression" (2003). Theses and Dissertations. 4183.