Stochastic Economics Applications of Stochastic Processes, Control and Programming

Tintner, Gerhard & Jati K. Sengupta

ISBN 10: 0126916500 / ISBN 13: 9780126916508

Edité par Academic Press Inc, 1972

A propos de cet article

Slightly cocked, light foxing, and jacket with toning, rubbing, brief soil and stains, a few tiny tears. ; 8vo 8" - 9" tall.

N° de réf. du vendeur 82087

Détails bibliographiques

• Titre: Stochastic Economics Applications of Stochastic Processes, Control and Programming
• Éditeur: Academic Press Inc
• Date de parution: 1972
• Langue: anglais
• ISBN à 10 chiffres: 0126916500
• ISBN à 13 chiffres: 9780126916508
• Reliure: Hardcover
• Édition: First Edition.
• État de l'article: Very Good
• État de la jaquette: Very Good
• Catalogues du vendeur:
  • Economics

A propos de ce titre

Synopsis

Stochastic Economics: Stochastic Processes, Control, and Programming presents some aspects of economics from a stochastic or probabilistic point of view. The application of stochastic processes to the theory of economic development, stochastic control theory, and various aspects of stochastic programming is discussed. Comprised of four chapters, this book begins with a short survey of the stochastic view in economics, followed by a discussion on discrete and continuous stochastic models of economic development. The next chapter focuses on methods of stochastic control and their application to dynamic economic models, with emphasis on those aspects connected especially with the theory of quantitative economic policy. Some basic operational problems of applying stochastic control, particularly in economic systems and organizations for problems such as dynamic resource allocation, growth planning, and economic coordination are considered. The last chapter is devoted to stochastic programming, paying particular attention to the decision rule theory of operations research under the chance-constrained model and a method of incorporating reliability measures into a systems reliability model. This book will be of interest to economists, statisticians, applied mathematicians, operations researchers, and systems engineers.