9783540108696 - Optimal Decisions under Uncertainty: 193 di Sengupta, J.K. (17 risultati)

Condizione: Good. Springer Verlag, 1981. Cover lightly soiled/bumped, corners and spine ends lightly rubbed; edges lightly soiled; ffep has faint erasures; pages faintly age-toned; binding tight; cover, edges, and interior intact and clean except as noted. paperback. Good.

Br. Condizione: Befriedigend. viii,156 S. exBibliotheksexemplar mit den üblichen Stempeln/Signaturen, Kanten gering berieben, etws bestossen, papierbedingte Seitenbräunung /// Standort Wimregal . HAGG-0688 ISBN 3540108696 Sprache: Englisch Gewicht in Gramm: 290.

Broschur. Condizione: Befriedigend. 156 S. ; 25 cm exBibliotheksexemplar mit den üblichen Stempeln/Signaturen, Kanten gering berieben, starke papierbedingte Seitenbräunung /// Standort Wimregal NIKK-4133 ISBN 9783540108696 Sprache: Englisch Gewicht in Gramm: 281.

Taschenbuch. Condizione: Gut. 156 Seiten ex Library Book aus einer wissenschaftlichen Bibliothek Sprache: Englisch.

Condizione: Gut. 172 Seiten ex Library Book aus einer wissenschafltichen Bibliothek Sprache: Englisch Gewicht in Gramm: 293 23,9 x 16,3 x 0,8 cm, Taschenbuch.

Condizione: New. In.

PF. Condizione: New.

Condizione: New. pp. 172.

Paperback. Condizione: Brand New. 1st edition. 172 pages. 9.61x6.69x0.39 inches. In Stock.

Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The theory of optimal decisions in a stochastic environment has seen many new developments in recent years. The implications of such theory for empirical and policy applications are several. This book attempts to analyze some of the impor tant applied aspects of this theory and its recent developments. The stochastic environment is considered here in specific form, e.g., (a) linear programs (LP) with parameters subject to a probabilistic mechanism, (b) decision models with risk aversion, (c) resource allocation in a team, and (d) national economic planning. The book attempts to provide new research insights into several areas, e.g., (a) mixed strategy solutions and econometric tests of hypotheses of LP models, (b) the dual problems of efficient estimation and optimal regulation, (c) input-output planning under imperfect competition, and (d) linear programs viewed as constrained statistical games. Methods of optimal decision rules developed here for quadratic and linear decision problems are applicable in three broad areas: (a) applied economic models in resource allocation, planning and team decision, (b) operations research models in management decisions involving portfolio analysis and stochastic programming, and (c) systems science models in stochastic control and adaptive behavior. Some results reported here have been published in professional journals be-. fore, and I would like to thank the following journals in particular: Inter national Journal of Systems Science, Journal of Optimization Theory and Applica tions and Journal of Mathematical Analysis and Applications.

Taschenbuch. Condizione: Neu. Optimal Decisions under Uncertainty | J. K. Sengupta | Taschenbuch | Lecture Notes in Economics and Mathematical Systems | vii | Englisch | 1981 | Springer | EAN 9783540108696 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Pictorial Boards. Condizione: Fine Condition. Bound in the publisher's original wraps with lettering in black and white.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The theory of optimal decisions in a stochastic environment has seen many new developments in recent years. The implications of such theory for empirical and policy applications are several. This book attempts to analyze some of the impor tant applied aspects of this theory and its recent developments. The stochastic environment is considered here in specific form, e.g., (a) linear programs (LP) with parameters subject to a probabilistic mechanism, (b) decision models with risk aversion, (c) resource allocation in a team, and (d) national economic planning. The book attempts to provide new research insights into several areas, e.g., (a) mixed strategy solutions and econometric tests of hypotheses of LP models, (b) the dual problems of efficient estimation and optimal regulation, (c) input-output planning under imperfect competition, and (d) linear programs viewed as constrained statistical games. Methods of optimal decision rules developed here for quadratic and linear decision problems are applicable in three broad areas: (a) applied economic models in resource allocation, planning and team decision, (b) operations research models in management decisions involving portfolio analysis and stochastic programming, and (c) systems science models in stochastic control and adaptive behavior. Some results reported here have been published in professional journals be-. fore, and I would like to thank the following journals in particular: Inter national Journal of Systems Science, Journal of Optimization Theory and Applica tions and Journal of Mathematical Analysis and Applications. 172 pp. Englisch.

Condizione: New. Print on Demand pp. 172 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 172.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The theory of optimal decisions in a stochastic environment has seen many new developments in recent years. The implications of such theory for empirical and policy applications are several. This book attempts to analyze some of the impor tant applied aspects of this theory and its recent developments. The stochastic environment is considered here in specific form, e.g., (a) linear programs (LP) with parameters subject to a probabilistic mechanism, (b) decision models with risk aversion, (c) resource allocation in a team, and (d) national economic planning. The book attempts to provide new research insights into several areas, e.g., (a) mixed strategy solutions and econometric tests of hypotheses of LP models, (b) the dual problems of efficient estimation and optimal regulation, (c) input-output planning under imperfect competition, and (d) linear programs viewed as constrained statistical games. Methods of optimal decision rules developed here for quadratic and linear decision problems are applicable in three broad areas: (a) applied economic models in resource allocation, planning and team decision, (b) operations research models in management decisions involving portfolio analysis and stochastic programming, and (c) systems science models in stochastic control and adaptive behavior. Some results reported here have been published in professional journals be-. fore, and I would like to thank the following journals in particular: Inter national Journal of Systems Science, Journal of Optimization Theory and Applica tions and Journal of Mathematical Analysis and Applications.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 172 pp. Englisch.