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Probability and Statistics by Example: Volume 2, Markov Chains

of students. Following on from the success of Probability and Statistics by Example: Basic Probability and Statistics, the authors here concentrate on;

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A First Course in Probability and Markov Chains

in Probability and Markov Chains presents an introduction to the basic elements in probability and focuses on two main areas. The first part explores;

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Finite Mathematics Mod & Aplicati Set

; Simplex Methods; Application Models; Set and Probability Relationships; Random Variables and Probability Distributions; Markov Chains;

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The Theory of Probability

, infinitely divisible distributions, and Markov processes. Written in a clear and concise style, this book by Gnedenko can serve as a textbook for;

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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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Finite Markov Processes and Their Applications

A self-contained treatment of finite Markov chains and processes, this text covers both theory and applications. Author Marius Iosifescu;

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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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Probability With a View Towards Statistics, Volume II

Volume II of this two-volume text and reference work concentrates on the applications of probability theory to statistics, e.g., the art;

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Applications of Markov Chains in Chemical Engineering

, despite the widespread use of Markov chains in many areas of science and technology, their applications in chemical engineering have been;

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Probability and Random Processes

-chain construction of continuous-time Markov chains. Finally, the number of exercises and problems has been increased by around 300 to a total;

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Probability & Random Processes

-chain construction of continuous-time Markov chains. Finally, the number of exercises and problems has been increased by around 300 to a total;

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Probability

An introduction to probability at the undergraduate level Chance and randomness are encountered on a daily basis. Authored by a highly;

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Basic Probability Theory

This introduction to more advanced courses in probability and real analysis emphasizes the probabilistic way of thinking, rather than;

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Finite Markov Chains and Algorithmic Applications

graduate students. The author first develops the necessary background in probability theory and Markov chains before applying it to study a range;

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Probabilities of Counting Codes

how formulas can be found based on the rules of the probability theory, and their correctness is verified by a comparison with Markov chains.;

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Probability, Markov Chains, Queues, and Simulation

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that;

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Markov Chains

author uses quantifiable examples to illustrate how probability theory arrived at the concept of discrete-time and the Markov model from;

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An Introduction to Probability Theory and Its Applications, Volume 2

The classic text for understanding complex statistical probability An Introduction to Probability Theory and Its Applications offers;

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Grinstead and Snell's Introduction to Probability

probability course taken by mathematics, the physical and social sciences, engineering, and computer science students. The text can be used in a;

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Probability for Engineering, Mathematics, and Science, International Edition

of probability to those who will use it in their subsequent courses and careers. The author emphasizes the study of probability distributions that;

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Generatingfunctionology: Third Edition

- Theory of Markov Chains - Number Theory One of the most important and relevant recent applications of combinatorics lies in the development;

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Applied Probability

Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational;

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Selected Works Of Kai Lai Chung

. Another volume, Chance and Choice, published by World Scientific in 2004, contains yet another subset, with four articles in common with this;

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Introduction to Hidden Semi-Markov Models

Markov chains and hidden Markov chains have applications in many areas of engineering and genomics. This book provides a basic introduction;

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Markov Chains

with some background in basic probability theory, focuses on Markov chains and quickly develops a coherent and rigorous theory whilst showing;

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Ergodic Behavior of Markov Processes

The general topic of this book is the ergodic behavior of Markov processes. A detailed introduction to methods for proving ergodicity and;

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Statistics and Analysis of Scientific Data

Statistics and Analysis of Scientific Data covers the foundations of probability theory and statistics, and a number of numerical and;

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