Abstract
Abstract This study explores a two-step regression procedure for assessing defense acquisition program cost growth using programmatic data from the Selected Acquisition Reports (SARs) between 1990 and 2000. We focus our analysis on cost growth in research and development dollars for the Engineering Manufacturing Development phase of the acquisition life cycle, specifically engineering cost growth. We illustrate the use of logistic regression in cost analysis to predict whether cost growth will occur. Given a program has a high likelihood of cost growth, we then use a log-transformed model to predict the amount of cost growth. Using this methodology, we produce statistically significant models highlighting the viability of this technique for cost analysts to consider and to adopt for future uses.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.