A stochastic regression model for proposal success evaluation

A stochastic model is presented which purports to assess the “probability” of a given proposal “capturing” a job contract award. Parameters of the process are estimated by a constrained set of linear regression equations involving the ranked positions of identified competitors relative to factors thought to be influential in the award process. Intended use of the model includes: a) avoidance of preparation of potentially nonwinning proposals, b) quantitative inclusion of political, psychological, and/or other “nonquantitative” factors in the assessment of contract winning capability, and c) identification of areas where a unit improvement