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Springer Stochastic Optimization and Economic Models - Theory and Decision Library

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Description

This comprehensive volume explores the practical applications of stochastic optimization within economic frameworks, presenting rigorous methods for decision-making under uncertainty. Distinguishing itself from econometrics by prioritising decision-theoretic foundations, the book demonstrates how stochastic processes and control theory generate optimal decision rules with measurable economic consequences. The work integrates insights from systems engineering, operations research, and resource management, offering applied techniques in stochastic control that address real-world economic challenges. Published by Springer as part of the Theory and Decision Library B series, this academic text bridges theoretical foundations and practical implementation, making it valuable for economists, researchers, and professionals seeking to understand how uncertainty shapes optimal economic decisions and policy outcomes.

Key Features

Focuses on applied stochastic optimization methods within economic models rather than statistical estimation techniques.

Integrates stochastic processes and control theory to illustrate how optimal decision rules generate economic implications.

Draws on systems engineering, operations research, and natural resources management for interdisciplinary insights.

Part of Springer's Theory and Decision Library B series, providing established academic authority and peer-reviewed content.

Emphasises the decision-theoretic basis of uncertainty from a stochastic perspective in economic analysis.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 August 1986
Listed Since
16 December 2006

Barcode

No barcode data available

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