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Comparison Methods for Stochastic Models and Risks

coverage of the latest research and applications An essential resource for researchers and postgraduate students appliying stochastic order;

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Stochastic Modelling of Reactionâ Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Stochastic Modelling of Reaction-Diffusion Processes

reactions, introducing stochastic simulation algorithms and mathematical methods for analysis of stochastic models. Different stochastic spatio;

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Stochastic Optimization with Simulation Based Optimization

Stochastic optimization is vital to making sound engineering and business decisions under uncertainty. While the limited capability;

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Asymptotic Methods and Stochastic Models in Problems of Wave Propagation

Asymptotic Methods and Stochastic Models in Problems of Wave Propagation is een boek van American Mathematical Society;

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Stochastic Biomathematical Models

behavior, large deviation theory and its application in stochastic neurobiological models, a review of mathematical methods for stochastic;

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An Introduction to Stochastic Orders

areas such as reliability, survival analysis, risks, finance, and economics. The book provides a general background on this topic for students;

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Methods of Structural Safety

, providing a framework for evaluating, comparing, and combining stochastic effects.Starting with the general problem of consistent evaluation;

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Stochastic Linear Programming Algorithms

A computationally oriented comparison of solution algorithms for two stage and jointly chance constrained stochastic linear programming;

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Random Contractions in Global Risk Governance

concepts and fundamental stochastic results for the formulation of stochastic models of various global risk governance operations particularly;

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Stochastic Approaches to Electron Transport in Micro- and Nanostructures

The book serves as a synergistic link between the development of mathematical models and the emergence of stochastic (Monte Carlo) methods;

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Stochastic Optimal Control of Structures

This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced;

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Stochastic Optimal Control of Structures

This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced;

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Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology

numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The;

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Asset Price Dynamics, Volatility, and Prediction

of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics;

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Parameter Estimation in Stochastic Volatility Models

well as nontraditional continuous time stochastic volatility models driven by fractional Levy processes. By incorporating jumps and long memory;

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Actuarial Theory for Dependent Risks

vital.Combining coverage of stochastic order and risk measure theories with the basics of risk management and stochastic dependence, this book provides an;

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Numerical Methods For Stochastic Processes

new methods. Topics presented include Monte Carlo and quasi-Monte Carlo methods, the simulation of major stochastic processes and;

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Time Series Analysis

models, discusses their theoretical characteristics, and explores the connections among stochastic dynamic models. Emphasizing the time domain;

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Flowgraph Models For Multistate Time-To-Event Data

computation, real data, and Bayesian methods for problem solving Real--world examples for analyzing data from stochastic processes The use;

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Stochastic Programming

, methods and applications of stochastic programming. The text is intended for researchers, students, engineers and economists, who encounter;

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Stochastic Benchmarking

), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and;

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Stochastic Benchmarking

), and provides stochastic models in DEA for the possibility of variations in inputs and outputs. It focuses on the application of theories and;

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Stochastic Modelling for Systems Biology, Third Edition

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use;

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Stochastic Modelling for Systems Biology, Third Edition

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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Change-Point Analysis in Nonstationary Stochastic Models

This book covers the development of methods for detection and estimation of changes in complex systems. These systems are generally;

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