The document discusses several techniques for cost estimation:
Parametric uses statistical models to relate costs to independent variables. Analogy estimates costs based on historical data from analogous systems, adjusting for differences. Engineering estimates break systems into components and aggregate labor, materials, and overhead costs. Actual costs project future costs based on experience from prototypes and early production. Cost estimation provides efficiency and control but requires accurate models and data. Demand estimation derives the relationship between demand and factors like price and income to inform pricing and other decisions. Surveys for demand estimation face tradeoffs between information and reliability versus cost and complexity.