Isbn: 9783540150329 - optimal decisions under uncertainty: methods, models, and management (universitext) (5 Ergebnisse)

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  • Sprache: Englisch

    Verlag: Springer, 1985

    3540150323 / 9783540150329

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    Zustand: Very Good. 296 pp., Paperback, minor library markings else text clean & binding tight. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.…

  • Sprache: Englisch

    Verlag: Springer, 1985

    3540150323 / 9783540150329

    • Softcover

    Anbieter: books4less (Versandantiquariat Petra Gros GmbH & Co. KG), Welling, Deutschlandbooks4less (Versandantiquariat Petra Gros GmbH & Co. KG)

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    Broschiert. Zustand: Gut. 286 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 490. …

  • Sprache: Englisch

    Verlag: Springer, 1985

    3540150323 / 9783540150329

    • Softcover

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    Zustand: very good. Berlin & New York : Springer, 1985. Paperback. x,286 pp. 24 cm. (Hochschultext). - Understanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as pects are emphasized much more than theory. Moreover, an attempt is made to in corporate the economic theory of uncertainty into the stochastic theory of opera tions research. Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior. Condition : very good copy. ISBN 9783540150329. Keywords : ECONOMICS.…

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    Sprache: Englisch

    Verlag: Berlin, Springer,, 1985

    3540150323 / 9783540150329

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    24 x 17 cm, Broschur. 286 S. Einband berieben. Schnitt angeschmutzt. Bitte beachten Sie, dass der Versand erst ab 5. Juli 2026 erfolgen wird. Sprache: Englisch Gewicht in Gramm: 550.

  • Sprache: Englisch

    Verlag: Springer, 1985

    3540150323 / 9783540150329

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    Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Understanding the stochastic enviornment is as much important to the manager as to the economist. From production and marketing to financial management, a manager has to assess various costs imposed by uncertainty. The economist analyzes the role of incomplete and too often imperfect information structures on the optimal decisions made by a firm. The need for understanding the role of uncertainty in quantitative decision models, both in economics and management science provide the basic motivation of this monograph. The stochastic environment is analyzed here in terms of the following specific models of optimization: linear and quadratic models, linear programming, control theory and dynamic programming. Uncertainty is introduced here through the para meters, the constraints, and the objective function and its impact evaluated. Specifically recent developments in applied research are emphasized, so that they can help the decision-maker arrive at a solution which has some desirable charac teristics like robustness, stability and cautiousness. Mathematical treatment is kept at a fairly elementary level and applied as pects are emphasized much more than theory. Moreover, an attempt is made to in corporate the economic theory of uncertainty into the stochastic theory of opera tions research. Methods of optimal decision rules illustrated he re are applicable in three broad areas: (a) applied economic models in resource allocation and economic planning, (b) operations research models involving portfolio analysis and stochastic linear programming and (c) systems science models in stochastic control and adaptive behavior.…