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 developme...

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1. Verfasser:	Sengupta, J.K (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	English
Veröffentlicht:	Berlin, Heidelberg Springer Berlin Heidelberg 1981
Ausgabe:	1st ed. 1981
Schriftenreihe:	Lecture Notes in Economics and Mathematical Systems 193
Schlagworte:	Operations Research/Decision Theory Economic Theory/Quantitative Economics/Mathematical Methods Operations research Decision making Economic theory Unsicherheit Entscheidung bei Unsicherheit Entscheidungstheorie Management Stochastischer Prozess Entscheidungsmodell
Online-Zugang:	BTU01 Volltext
Zusammenfassung:	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
Beschreibung:	1 Online-Ressource (VII, 161 p)
ISBN:	9783642877209
DOI:	10.1007/978-3-642-87720-9