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Mathematics


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Mathematics
Probability Theory


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Introduction To Stochastic Modeling (4TH 11 Edition)
Introduction To Stochastic Modeling (4TH 11 Edition)
by Mark Pinsky
Publisher Comments
Serving as the foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus, Introduction to Stochastic Modeling, 4e, bridges the gap between basic probability and an intermediate... (read more)

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Mathimatiques Et Applications #57: Modhles Aliatoires: Applications Aux Sciences de L'Inginieur Et Du Vivant
Mathimatiques Et Applications #57: Modhles Aliatoires: Applications Aux Sciences de L'Inginieur Et Du Vivant
by Jean Francois Delmas
Publisher Comments
Ce tome présente des modèles aléatoires élémentaires (chaînes de Markov... (read more)

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Stochastic Processes
Stochastic Processes
by S R S Varadhan
Book News Annotation
This is a brief introduction to stochastic processes for studying certain elementary continuous-time processes. After a description of the Poisson process and related processes with independent increments, as well as a brief look at Markov processes... (read more)

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Probability & Partial Differential Equat
Probability & Partial Differential Equat
by Edward C Waymire
Publisher Comments
"Probability and Partial Differential Equations in Modern Applied Mathematics" is devoted to the role of probabilistic methods in modern applied mathematics from the perspectives of both a tool for analysis and as a tool in modeling. There is a... (read more)

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Elements of the Theory of Markov Processes and Their Applications
Elements of the Theory of Markov Processes and Their Applications
by Albert T. Bharucha-Reid
Publisher Comments
Graduate-level text and reference in probability, with numerous applications to several fields of science, presents nonmeasure-theoretic introduction to theory of Markov processes. Also, mathematical models based on the theory, employed in various... (read more)

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Introduction To Probability & Statistics for Scientists & Engineers
Introduction To Probability & Statistics for Scientists & Engineers
by Walter Rosenkrantz
Publisher Comments
This modern text presents the fundamental ideas of probability theory and statistics with an abundance of applications relating to topics such as reliability, queuing theory, and computer performance analysis. Along with thorough coverage of the... (read more)

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Foundations of Probability
Foundations of Probability
by Alfred Renyi
Publisher Comments
Introducing many innovations in content and methods, this book involves the foundations, basic concepts, and fundamental results of probability theory. Geared toward readers seeking a firm basis for study of mathematical statistics or information... (read more)

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Probability & Random Processes 2ND Edition
Probability & Random Processes 2ND Edition
by G R Grimmett
Publisher Comments
This completely revised text provides a simple but rigorous introduction to probability. It discusses a wide range of random processes in some depth with many examples, and gives the beginner some flavor of more advanced work, by suitable choice of... (read more)

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Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)
Symmetric Markov Processes, Time Change, and Boundary Theory (LMS-35)
by Zhen-Qing Chen
Publisher Comments
This book gives a comprehensive and self-contained introduction to the theory of symmetric Markov processes and symmetric quasi-regular Dirichlet forms. In a detailed and accessible manner, Zhen-Qing Chen and Masatoshi Fukushima cover the essential... (read more)

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Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
Mathematical Methods in Robust Control of Discrete-Time Linear Stochastic Systems
by Vasile Dragan
Publisher Comments
In this monograph the authors develop a theory for the robust control of discrete-time stochastic systems, subjected to both independent random perturbations and to Markov chains. Such systems are widely used to provide mathematical models for real... (read more)

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Malliavin Calculus & Its Applications
Malliavin Calculus & Its Applications
by David Nualart
Book News Annotation
Paul Malliavin developed the stochastic calculus of variations that bears his name in 1976 primarily to establish the regularity of the probability distribution of functionals of an underlying Gaussian process. Since then it has proven to be a... (read more)

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Stochastic Modelling and Applied Probability                                                        " #58: Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopi
Stochastic Modelling and Applied Probability " #58: Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopi
by Peter Kotelenez
Publisher Comments
Stochastic Partial Differential Equations analyzes mathematical models of time-dependent physical phenomena on microscopic, macroscopic and mesoscopic levels. It provides a rigorous derivation of each level from the preceding one and examines the... (read more)

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Cime Summer Schools #42: Some Aspects of Diffusion Theory: Lectures Given at a Summer School of the Centro Internazionale Matematico Estivo (C.I.M.E.) Held in Varenna (Como),
Cime Summer Schools #42: Some Aspects of Diffusion Theory: Lectures Given at a Summer School of the Centro Internazionale Matematico Estivo (C.I.M.E.) Held in Varenna (Como),
by A Pignedoli
Publisher Comments
V.C.A. Ferraro: Diffusion of ions in a plasma with applications to the ionosphere.- P.C. Kendall: On the diffusion in the atmosphere and ionosphere.-F. Henin: Kinetic equations and Brownian motion.- T. Kahan:Théorie des réacteurs nucléaires: méthodes... (read more)

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Recent Developments in Applied Probability and Statistics: Dedicated to the Memory of Jurgen Lehn
Recent Developments in Applied Probability and Statistics: Dedicated to the Memory of Jurgen Lehn
by Luc Devroye
Publisher Comments
This book presents surveys on recent developments in applied probability and statistics. The contributions include topics such as nonparametric regression and density estimation, option pricing, probabilistic methods for multivariate interpolation... (read more)

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Introduction to Probability & Statistics from a Bayesian Viewpoint Pt. 1: Probability
Introduction to Probability & Statistics from a Bayesian Viewpoint Pt. 1: Probability
by D V Lindley
Publisher Comments
The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum... (read more)

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Self-Normalized Processes: Limit Theory and Statistical Applications (Probability and Its Applications)
Self-Normalized Processes: Limit Theory and Statistical Applications (Probability and Its Applications)
by Victor H De La Pena
Publisher Comments
Self-normalized processes are of common occurrence in probabilistic and statistical studies. A prototypical example is Student's t-statistic introduced in 1908 by Gosset, whose portrait is on the front cover. Due to the highly non-linear nature of these... (read more)

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Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopic to Macroscopic Equations
Stochastic Ordinary and Stochastic Partial Differential Equations: Transition from Microscopic to Macroscopic Equations
by Peter Kotelenez
Publisher Comments
This book provides the first rigorous derivation of mesoscopicand macroscopic equations from a deterministic system ofmicroscopic equations. The microscopic equations are cast inthe form of a deterministic (Newtonian) system of coupled... (read more)

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Applied Probability and Statistics
Applied Probability and Statistics
by Mario Lefebvre
Publisher Comments
This text is designed for a one-semester course on Probability and Statistics. The exposition unfolds systematically from an introductory chapter to such topics as random variables and vectors, stochastic processes, estimation, testing and regression... (read more)

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An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Biology, Finance, and Engineering
An Introduction to Continuous-Time Stochastic Processes: Theory, Models, and Applications to Biology, Finance, and Engineering
by Vincenzo Capasso
Publisher Comments
This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes.  Balancing theory and applications, the authors use stochastic methods and concrete examples to model real-world... (read more)

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Introduction to Probability
Introduction to Probability
by John E. Freund
Publisher Comments
Thorough, lucid coverage of permutations and factorials, probabilities and odds, frequency interpretation, mathematical expectation, decision making, postulates of probability, rule of elimination, binomial distribution, geometric distribution, standard... (read more)

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