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Stochastic Models of Economic Development
Stochastic Control Theory with Economic Applications
Stochastic Programming Methods with Economic Applications
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allocation analysis applications approach approximation aspects assumed assumption capital characterized coefficients compute consider constant constraints cost criterion decision defined denotes derived deterministic differential discussed distribution dynamic economic elements empirical equations estimates example exists expected feasible framework function given growth Hence implies important income increase independent initial interval investment known limit linear matrix maximize maximum mean measures methods minimize nonlinear normal Note objective function observations obtain operational optimal control output parameters path period planning probability probability distribution problems production profits programming random random variables reliability respectively restrictions rules sample satisfying selection Sengupta solution space specific stability statistical stochastic process stochastic programming Table theory Tintner tion trend utility variables variance variations various vector zero