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An Introduction To Stochastic Modeling

Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and;

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Probability and Stochastic Modeling

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also;

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Probability and Stochastic Modeling

Probability and Stochastic Modeling not only covers all the topics found in a traditional introductory probability course, but also;

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Stochastic World

the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability;

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Probability and Statistics with Reliability, Queuing, and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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Modeling and Management of Stochastic Systems

utility to readers with knowledge about stochastic calculus and basic probability theory. It will specifically serve as a useful resource for PhD;

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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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Probability

on the Axioms Probability Laws II: Results of Conditioning Random Variables and Stochastic Processes Discrete Random Variables and;

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Stochastic Modeling and Optimization

This books covers the broad range of research in stochastic models and optimization. Applications presented include networks, financial;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Stochastic Modeling of Scientific Data

Stochastic Modeling of Scientific Data combines stochastic modeling and statistical inference in a variety of standard and less common;

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Probability and Statistics with Reliability, Queuing and Computer Science Applications

An accessible introduction to probability, stochastic processes, and statistics for computer science and engineering applications This;

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An Introduction to Stochastic Modeling

and calculus, Introduction to Stochastic Modeling, Fourth Edition, bridges the gap between basic probability and an intermediate level course;

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Stochastic Analysis, Stochastic Systems, And Applications To Finance

This book introduces some advanced topics in probability theories - both pure and applied - is divided into two parts. The first part deals;

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Some Stochastic Models For Cancer Cell Growth

and genetic properties of cancer. The study is stressed more on stochastic modeling of cancer growth as modeling with deterministic;

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Probability Models in Operations Research

. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to;

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Probability Models in Operations Research

. Probability Models in Operations Research provides a comprehensive overview of the probabilistic and stochastic modeling approaches commonly used to;

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Mathematical Modeling

probability theory. The book develops consistently both deterministic and stochastic methods. In particular, it shows how deterministic methods are;

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Mathematical Modeling

, deterministic and stochastic methods, and first-principle and empirical solutions. Complete range: The text continuously covers the complete range;

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Quantum Techniques In Stochastic Mechanics

We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets - important ways of modeling population;

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Statistical Physics

of stochastic models from observations; and statistical tests and classification methods.;

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An Introduction To Stochastic Dynamics

introduces the basic tools from probability and analysis and then develops for stochastic systems the properties traditionally calculated for;

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Introduction To Stochastic Dynamics

introduces the basic tools from probability and analysis and then develops for stochastic systems the properties traditionally calculated for;

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Introductory Stochastic Analysis For Finance And Insurance

working in the financial and insurance industries: Overview of Probability Theory Discrete-Time stochastic processes Continuous-time stochastic;

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Models and Algorithms for Biomolecules and Molecular Networks

structures * Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations * End-of-chapter;

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Introduction to Modeling and Analysis of Stochastic Systems

This book provides a self-contained review of all the relevant topics in probability theory. A software package called MAXIM, which runs on;

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