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Foundations of Stochastic Inventory Theory

, providing after-sales service, and recycling. Following in this tradition, Foundations of Stochastic Inventory Theory has a dual purpose, serving as;

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Applied Probability and Stochastic Processes

of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a;

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Applied Probability and Stochastic Processes

of stochastic modelling in queuing theory, reliability, inventory, financial mathematics, operations research, and more. This book is intended for a;

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Lectures on Stochastic Programming

principle. The book also includes the theory of two-stage and multistage stochastic programming problems; the current state of the theory on chance;

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Stochastic Processes: Theory and Methods

J. Neyman, one of the pioneers in laying the foundations of modern statistical theory, stressed the importance of stochastic processes;

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Almost Periodic Stochastic Processes

This book lays the foundations for a theory on almost periodic stochastic processes and their applications to various stochastic;

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Linear Stochastic Systems

Linear Stochastic Systems, originally published in 1988, is today as comprehensive a reference to the theory of linear discrete-time;

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Multistage Stochastic Optimization

Multistage stochastic optimization problems appear in many ways in finance, insurance, energy production and trading, logistics and;

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Stochastic Relations

: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems. After an;

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Stochastic Relations

: Foundations for Markov Transition Systems develops the theory of stochastic relations as a basis for Markov transition systems. After an;

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A First Course in Stochastic Models

contributed to a better understanding of the theory. A First Course in Stochastic Models provides a self-contained introduction to the theory and;

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GameTheoretic Foundations for Probability and Finance

finance theory include purely game-theoretic accounts of Ito's stochastic calculus, the capital asset pricing model, the equity premium, and;

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Risk-Neutral Valuation

side, both discrete- and continuous-time stochastic processes are treated, with special emphasis on martingale theory, stochastic integration;

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Fundamentals of Supply Chain Theory

models, deterministic and stochastic models for capacity planning and expansion, and Fundamental Auction Theory. Plentiful teaching supplements;

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Hilbert Space Methods In Probability And Statistical Inference

Explains how Hilbert space techniques cross the boundaries into the foundations of probability and statistics. Focuses on the theory;

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Handbook of Research on Promoting Business Process Improvement Through Inventory Control Techniques

control. Featuring coverage on a broad range of topics such as logistics and supply chain management, stochastic inventory modelling, and;

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Deterministic Versus Stochastic Modelling in Biochemistry and Systems Biology

the deterministic and stochastic foundations of biochemical kinetics, covering applied stochastic process theory for application in the field;

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Recent Advances In Stochastic Operations Research

. In particular, the book focusses on models in stochastic operations research, including queueing models, inventory models, financial engineering models;

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Foundations of Software Science and Computation Structures

Structures, FOSSACS 2020, which took place in Dublin, Ireland, in April 2020, and was held as Part of the European Joint Conferences on Theory and;

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Principles of Inventory Management

stochastic models along with algorithms that can be employed to find solutions to a variety of inventory control problems. With exercises at the;

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Foundations of Iso-Differential Calculus

Chapter 1 represents a short introduction to the theory of iso-probability theory. They are defined iso-probability measure, iso;

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Stochastic Algorithms: Foundations and Applications

This book constitutes the refereed proceedings of the 5th International Symposium on Stochastic Algorithms, Foundations and Applications;

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Recent Advances In Stochastic Operations Research Ii

. Two key concepts in such research are optimization and uncertainty. Typical models in stochastic operations research include queueing models;

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Markov Processes from K. Ito's Perspective (AM-155)

Kiyosi Ito's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the;

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Stochastic Analysis

foundations and applications of the two calculi, including stochastic integrals and differential equations, and the distribution theory on Wiener;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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Applied Probability and Stochastic Processes

Applied Probability and Stochastic Processes, Second Edition presents a self-contained introduction to elementary probability theory and;

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