Development of a Navy recruiting vehicle budget model
By: Jenniffer D. Gundayao
Contributors: Naval Postgraduate School (U.S.) 
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1997
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 51
Description: This thesis attempts to develop a predicting model for Commander, Navy Recruiting Command (CNRC) and      Recruiting District Commanding Officers to use in distributing vehicles to each Navy Recruiting District. The      thesis attempts to identify the relevant data on vehicle activity and vehicle costs across four Navy Recruiting      Areas and 31 Navy Recruiting Districts that will be usefulness in developing a model to predict the demand for      vehicles. The data file consists of pooled, cross-sectional time-series data covering three fiscal years, 1995,      1996, and 1997, and 31 Recruiting Districts. This data file is used to estimate regression models of vehicle      demand using ordinary least squares techniques. The candidate independent variables whose values are      statistically significant are used as the explanatory (predictor) variables to explain the variation in the number of      vehicles across Districts. The thesis concludes that there is a strong relationship between the number of enlisted      production recruiters and total vehicle mileage in explaining the number of recruiting vehicles. Using these      relationships a simple model is developed that can be used to predict future vehicle demand by District and      assist decision makers in making vehicle distribution decisions.
Notes: "December 1997."

Thesis advisor(s): Stephen L. Mehay, Shu S. Liao.

Thesis (M.S. in Management) Naval Postgraduate School, December 1997.

Includes bibliographical references (p. 49)

Approved for public release; distribution unlimited.

Also available online.

Mode of access: World Wide Web.

System requirements: Adobe Acrobat reader.

US Navy (USN) author.

dk/dk cc:9116 05/12/98.