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Stochastic Climate Models

stochastic input. Mathematicians will benefit from a survey of simple models, while physicists will encounter mathematically relevant techniques at;

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Stochastic Physics and Climate Modelling

This is the first book to promote the use of stochastic, or random, processes to understand, model and predict our climate system. One;

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Stochastic Physics And Climate Modelling

This is the first book to promote the use of stochastic, or random, processes to understand, model and predict our climate system. One;

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Nonlinear and Stochastic Climate Dynamics

It is now widely recognized that the climate system is governed by nonlinear, multi-scale processes, whereby memory effects and stochastic;

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Nonlinear Climate Dynamics

This book introduces stochastic dynamical systems theory in order to synthesize our current knowledge of climate variability. Nonlinear;

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Stochastic Biomathematical Models

Stochastic biomathematical models are becoming increasingly important as new light is shed on the role of noise in living systems;

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Stochastic models for repairable systems

STOCHASTIC MODELS FOR REPAIRABLE SYSTEMS;

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Stochastic models in risk theory and management accounting

Stochastic models in risk theory and management accounting;

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Stochastic Modelling Of Aids Epidemiology And Hiv Pathogenesis

This book discusses systematically treatment on the development of stochastic, statistical and state space models of the HIV epidemic and;

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Stochastic Models, Statistics and Their Applications

This volume presents the latest advances and trends in stochastic models and related statistical procedures. Selected peer-reviewed;

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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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Handbook of Probabilistic Models

> Specific topics covered include minimax probability machine regression, stochastic finite element method, relevance vector machine, logistic;

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Bayesian Analysis of Stochastic Process Models

Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified;

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Stochastic Modelling of Reactionâ Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Stochastic Modelling of Reaction-Diffusion Processes

This practical introduction to stochastic reaction-diffusion modelling is based on courses taught at the University of Oxford. The authors;

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Analytically Tractable Stochastic Stock Price Models

Asymptotic analysis of stochastic stock price models is the central topic of the present volume. Special examples of such models are;

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Recent Advances In Stochastic Operations Research

the International Workshop on Recent Advances in Stochastic Operations Research (RASOR 2005), August 25-26, 2005, Canmore, Alberta, Canada;

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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 Exponential Growth and Lattice Gases

The book discusses a class of discrete time stochastic growth processes for which the growth rate is proportional to the exponential of a;

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Introduction to Stochastic Models

This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such;

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Energy Balance Climate Models

, right up to the incorporation of feedback mechanisms and some analytical properties of interest. The effect of stochastic forcing is then used;

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Option Pricing with Long Memory Stochastic Volatility Models

It is now known that long memory stochastic volatility models can capture the well-documented evidence of volatility persistence. However;

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Stochastic Model Checking

The use of stochastic models in computer science is wide spread, for instance in performance modeling, analysis of randomized algorithms;

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Stochastic Programming

This book provides an essential introduction to Stochastic Programming, especially intended for graduate students. The book begins by;

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An Introduction to Stochastic Orders

An Introduction to Stochastic Orders discusses this powerful tool that can be used in comparing probabilistic models in different;

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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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Handbook of Stochastic Models and Analysis of Manufacturing System Operations

This handbook surveys important stochastic problems and models in manufacturing system operations and their stochastic analysis. Using;

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