£121.61

Springer Stochastic Optimization and Economic Models Book

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Description

Explore the practical applications of stochastic optimization in economic modeling with this professional text from Springer. This volume focuses on the decision-theoretic basis of uncertainty through a stochastic lens, providing a different perspective than standard econometrics. While econometrics focuses on estimation, this work centers on how optimal decision rules function within economic implications. By utilizing stochastic processes and control theory, the book illustrates how these mathematical tools apply to complex decision-making environments. It covers methods of applied stochastic control that are currently seeing high levels of interaction across multiple professional fields. Readers will find relevant connections between economics and disciplines such as operations research, systems engineering, and natural resources management. This text is an essential resource for those looking to understand the mathematical foundations of decision-making under uncertainty.

Key Features

Focuses on the decision-theoretic basis of uncertainty using a stochastic point of view rather than simple estimation.

Uses stochastic processes and control theory to illustrate various economic implications of optimal decision rules.

Covers applied aspects of stochastic optimization specifically tailored for economic models.

Connects economic theory with practical applications in operations research and systems engineering.

Provides insight into the interaction between economics and natural resources management through stochastic control.

Product Specifications

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

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