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Prentice Hall Stochastic Processes with Biology Applications
Pages: 385, Hardcover, Prentice Hall
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Oxford University Press Stochastic Processes and Models
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Stochastic Analysis (Grundlehren Der Mathematischen Wissenschaften)
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Stochastic Calculus of Variations in Mathematical Finance (Springer Finance S.)
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Deterministic and Stochastic Scheduling
author: ; publisher: Reidel Pub.Co.
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Highly Structured Stochastic Systems
Highly Structured Stochastic Systems (HSSS) is a modern strategy for building statistical models for challenging real-world problems, for computing with them, and for interpreting the resulting inference. The aim of this book is to make developments in HSSS accessible to a general statistical audience including graduate students and researchers. author: Green, Peter J.; publisher: Oxf.U.P.
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Introduction to Stochastic Modeling, An
Bridging the gap between basic probability knowledge and an intermediate level course, this work is intended as a foundation for a one-semester course in stochastic processes for students familiar with elementary probability theory and calculus. author: Karlin, Samuel; publisher: Academic P.
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Stochastic Integration and Differential Equations
The second edition of this text has several significant changes, most prominently the addition of exercises for solution intended to supplement the text. Additional topics include an introduction to the theory of the expansion of filtrations, and the theory of the expansion of filtrations. author: Protter, Philip; publisher: Springer-Verlag
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Applied Stochastic Control of Jump Diffusions
This text presents a rigorous yet non-technical introduction to the most important and useful solution methods of various types of stochastic control problems for jump diffusions and its applications. The types of control problems covered include classical stochastic control, optimal stopping, impulse control and singular control. author: Bernt, Oksendal; publisher: Springer-Verlag
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Essentials of Stochastic Finance
This text provides information for those dealing with stochastic calculus and pricing in the models of financial markets operating under uncertainty. It introduces the reader to the main concepts, notions and results of stochastic financial mathematics. author: Shiriaev, A.N.; publisher: World Scientific Pub.Co.,Singapore
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Probability, Random Variables and Stochastic Processes
author: Pillai, S.Unnikrishna; publisher:
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£117.99
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Stochastic Local Search
Foundations and Applications author: Hoos, Holger; publisher: Morgan Kaufmann Publrs.,U.S.
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Numerical Analysis of Systems of Ordinary and Stochastic Differential Equations
This text deals with numerical analysis of systems of both ordinary and stochastic differential equations. It covers numerical solution problems of the Cauchy problem for stiff ordinary differential equations (ODE) systems by Rosenbrock-type methods (RTMs). author: Artemiev, S.S.; publisher: VSP,Netherlands
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Stochastic Population Models in Ecology and Conservation
Random fluctuations in population dynamics are fundamentally important in pure and applied ecology. This text introduces demographic and environmental stochasticity and illustrates statistical methods for estimating them from field data. author: Lande, Russell; publisher: Oxf.U.P.
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Stochastic Models in Queueing Theory
This textbook covers the fundamental topics in queuing theory and contains broad coverage of methods to calculate important probabilities, and gives attention to proving the general theorems. Topics discussed include: server-vacation models, diffusion approximations and optimal operating policies. author: Medhi, J.; publisher: Academic P.,U.S.
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Option Theory with Stochastic Analysis
An Introduction to Mathematical Finance author: Benth, Fred E.; publisher: Springer-Verlag
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Stochastic Methods in Finance
Lectures Given at the C.I.M.E.-E.M.S. Summer School Held in Bressanone/Brixen, Italy, July 6-12, 2003 author: Back, Kerry; publisher: Springer Verlag
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Academic Press Inc.,U.S. Stochastic Models in Queueing Theory
Pages: 450, Hardcover, Academic Press Inc.,U.S.
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Academic Press Inc.(London) Ltd Introduction to Stochastic Dynamic Programming
Pages: 180, Paperback, Academic Press Inc.(London) Ltd
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Academic Press Inc.,U.S. Solutions to Problems in an Introduction to Stochastic Modelling
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Academic Press Inc.,U.S. A Second Course in Stochastic Processes
Pages: 542, Hardcover, Academic Press Inc.,U.S.
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Academic Press Inc.,U.S. A First Course in Stochastic Processes
Pages: 557, Hardcover, Academic Press Inc.,U.S.
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McGraw-Hill Publishing Co. Probability, Random Variables and Stochastic Processes
Pages: 304, Edition: 4th Edition, Hardcover, McGraw-Hill Publishing Co.
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McGraw-Hill Publishing Co. Probability, Random Variables and Stochastic Processes
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Stochastic Topics in Applied Mathematical Sciences
This work focuses on analyzing and presenting solutions for a wide range of stochastic problems that are encountered in applied mathematics, probability, physics, engineering, finance, and economics. The Monte Carlo method is used extensively to illustrate difficult theoretical concepts. author: Grigoriu, M.; publisher: Birkhauser Boston
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Anticipative Girsanov Transformations and Skorohod Stochastic Differential Equations
author: Buckdahn, Rainer; publisher: American Mathematical Society
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Stochastic Resonance
This work deals with the theory of noise-added systems and in particular with stochastic resonance, a quite novel theory that was introduced in the 1980s to provide better understanding of some natural phenomena (for example, ice age recurrence). author: Ando, Bruno; publisher: Kluwer Acad.Publrs.
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Stochastic Processes: Lectures Given at Aarhus University
Pages: 246, Hardcover, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Stochastic Differential Equations: An Introduction with Applications (Universitext S.)
Pages: 397, Paperback, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Academic Press Inc.,U.S. An Introduction to Stochastic Modeling
Pages: 631, Hardcover, Academic Press Inc.,U.S.
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Handbook of Stochastic Methods: For Physics, Chemistry and the Natural Sciences (Springer Series in Synergetics)
Pages: 432, Paperback, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Cambridge University Press Stochastic Integration with Jumps (Encyclopedia of Mathematics & Its Applications S.)
Pages: 516, Hardcover, Cambridge University Press
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K The Theory of Stochastic Processes: Pt. 1 (Classics in Mathematics S.)
Pages: 582, Paperback, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Morgan Kaufmann Publishers Inc,US Stochastic Local Search: Foundations and Applications (The Morgan Kaufmann Series in Artificial Intelligence)
Pages: 658, Hardcover, Morgan Kaufmann Publishers Inc,US
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Imperial College Press Introduction to Stochastic Calculus with Applications
Pages: 336, Hardcover, Imperial College Press
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Oxford University Press Stochastic Volatility: Selected Readings (Advanced Texts in Econometrics)
Pages: 534, Hardcover, Oxford University Press
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Quantum Noise: A Handbook of Markovian and Non-markovian Quantum Stochastic Methods with Applications to Quantum Optics (Springer Series in Synergetics)
Pages: 471, Hardcover, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Non-Life Insurance Mathematics: An Introduction with Stochastic Processes (Universitext S.)
Pages: 246, Paperback, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Springer-Verlag New York Inc. Stochastic Processes and Orthogonal Polynomials (Lecture Notes in Statistics S.)
Pages: 176, Paperback, Springer-Verlag New York Inc.
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Stochastic Image Processing
author: Chee, Sun Won; publisher: Kluwer Academic/Plenum Publishers
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Stochastic Simulation
This guide to simulation methods with explicit recommendations of methods and algorithms covers both the technical aspects of the subject, such as the generation of random numbers, non-uniform random variates and stochastic processes, and the use of simulation. author: Ripley, Brian D.; publisher: Wiley
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Stochastic Processes
A systematic account of the development of stochastic processes over the last 20 years. A supplement contained within the text includes a treatment of the various aspects of measure theory. There is also a chapter on the specialized problem of prediction theory. author: Doob, J.L.; publisher: Wiley
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Reliability Assessment Using Stochastic Finite Element Analysis
Reliability assessment is the mathematical prediction of whether a given structural design will withstand a particular stress. This text show s how to use stochastic finite element analysis to predict reliability. It can be useful both as a professional reference and as an advanced graduate text. author: Haldar, Achintya; publisher: Wiley
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Derivatives in Financial Markets with Stochastic Volatility
This book addresses pricing and hedging derivative securities in uncertain and changing market volatility. author: Fouque, Jean-Pierre; publisher: Camb.U.P.
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Imperial College Press Introduction to Stochastic Calculus with Applications
Pages: 432, Paperback, Imperial College Press
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£23.00
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Springer-Verlag New York Inc. Introduction to Stochastic Integration (Universitext S.)
Pages: 292, Paperback, Springer-Verlag New York Inc.
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Imperial College Press Introduction to Stochastic Calculus with Applications
Pages: 432, Hardcover, Imperial College Press
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Society for Industrial & Applied Mathematics,U.S. Image Processing and Analysis: Variational, PDE, Wavelet, and Stochastic Methods
Pages: 422, Paperback, Society for Industrial & Applied Mathematics,U.S.
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Springer-Verlag New York Inc. Nonparametric Statistics for Stochastic Processes: Estimation and Prediction (Lecture Notes in Statistics S.)
Pages: 231, Paperback, Springer-Verlag New York Inc.
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Springer-Verlag New York Inc. Stochastic Calculus for Finance: The Binomial Asset Pricing Model: v. 1 (Springer Finance S.)
Pages: 203, Paperback, Springer-Verlag New York Inc.
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Cambridge University Press Ocean Waves: The Stochastic Approach (Cambridge Ocean Technology S.)
Pages: 331, Paperback, Cambridge University Press
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Walter de Gruyter Stochastic Finance: An Introduction in Discrete Time (De Gruyter Studies in Mathematics)
Pages: 470, Hardcover, Walter de Gruyter
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Springer-Verlag New York Inc. Controlled Markov Processes and Viscosity Solutions (Stochastic Modeling and Applied Probability S.)
Pages: 446, Hardcover, Springer-Verlag New York Inc.
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Cambridge University Press New Approaches to Macroeconomic Modeling: Evolutionary Stochastic Dynamics, Multiple Equilibria, and Externalities as Field Effects
Pages: 306, Paperback, Cambridge University Press
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Springer-Verlag New York Inc. Methods of Mathematical Finance (Stochastic Modeling and Applied Probability S.)
Pages: 436, Hardcover, Springer-Verlag New York Inc.
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John Wiley and Sons Ltd Stochastic Processes and Random Vibrations: Theory and Practice
Pages: 444, Paperback, John Wiley and Sons Ltd
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Pearson US Imports & PHIPEs Stochastic Modeling and the Theory of Queues (Prentice-Hall International Series in Industrial & Systems Engineering)
Pages: 560, Hardcover, Pearson US Imports & PHIPEs
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Birkhauser Verlag AG Kolmogorov Equations for Stochastic PDEs (Advanced Courses in Mathematics CRM Barcelona S.)
Pages: 189, Paperback, Birkhauser Verlag AG
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Stochastic Processes
In this textbook, the authors present an accessible introduction to stochastic processes for students taking degree courses which have a substantial mathematics or statistics content. The level of the book is appropriate for a second or third-year undergraduate course. author: Jones, P.W.; publisher: Arnold
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Multivariate Probability and Stochastic Processes
Covering very mathematical aspects of statistics in a student friendly way, the author includes worked examples and exercises in this textbook. Multivariate probability is usually a prerequisite for a course in stochastic processes. author: McColl, John; publisher: Arnold
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Springer-Verlag Berlin and Heidelberg GmbH & Co. K Stochastic Implied Volatility: A Factor-Based Model (Lecture Notes in Economics & Mathematical Systems S.)
Pages: 240, Paperback, Springer-Verlag Berlin and Heidelberg GmbH & Co. K
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Springer-Verlag New York Inc. Large Deviations Techniques and Applications (Stochastic Modelling and Applied Probability S.)
Pages: 412, Unknown Binding, Springer-Verlag New York Inc.
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Springer-Verlag New York Inc. Stochastic Calculus for Finance: Continuous-time Models: v. 2 (Springer Finance S.)
Pages: 569, Hardcover, Springer-Verlag New York Inc.
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Stochastic Processes
Concerned with reviewing and unifying new ideas in the different lines of research and developments in stochastic processes of applied flavour, this volume consists of various topics in stochastic processes. Including manufacturing systems, random graphs and reliability. author: ; publisher: Elsevier Science
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Probability and Stochastic Processes
This user-friendly resource helps readers grasp the concepts of probability and stochastic processes, so they can apply them in professional engineering practice. The book presents concepts clearly as a sequence of building blocks that are identified either as an axiom, definition, or theorem. author: Yates, Roy; publisher: Wiley
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Springer-Verlag New York Inc. Cooperative Stochastic Differential Games (Springer Series in Operations Research and Financial Engineering)
Pages: 254, Hardcover, Springer-Verlag New York Inc.
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Stochastic Calculus and Financial Applications
Stochastic calculus has important applications to mathematical finance. This book should appeal to practitioners and graduate students who want an elementary introduction to these areas. author: Steele, J.Michael; publisher: Springer-Verlag,N.Y.
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Stochastic Methods and Their Applications to Communications
Divided into two parts, theoretical and practical, this volume deals with the modeling and numerical simulation of non-Gaussian processes which are often encountered throughout the field of communications and other applied areas. author: ; publisher:
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Introduction to Stochastic Calculus Applied to Finance
This text provides an introduction to the stochastic methods of calculus that are currently used in financial market models. It should be of interest to stochastic processing graduate students, mathematical finance students, and MBA students. author: Lamberton, D.McLean; publisher: Chap.& H.
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