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#### Stochastik

De Gruyter 2009; US$ 980.00The fourth German edition of this textbook presents the fundamental ideas and results of both probability theory and statistics. It comprises the material of a one-year course, and is addressed to students of mathematics as well as scientists and computer scientists with interest in the mathematical aspects of stochastics. more...

#### An Introduction to Stochastic Modeling, Student Solutions Manual (e-only)

Elsevier Science 2011; US$ 9.99An Introduction to Stochastic Modeling, Student Solutions Manual (e-only) more...

#### Lectures on Dynamics of Stochastic Systems

Elsevier Science 2010; US$ 77.95Fluctuating parameters appear in a variety of physical systems and phenomena. They typically come either as random forces/sources, or advecting velocities, or media (material) parameters, like refraction index, conductivity, diffusivity, etc. Models naturally render to statistical description, where random processes and fields express the input parameters... more...

#### An Introduction to Stochastic Modeling

Elsevier Science 2010; US$ 99.95Serving 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 level course in stochastic processes. The objectives of the text are to introduce students to the... more...

#### Markov Processes from K. Ito's Perspective (AM-155)

Princeton University Press 2003; US$ 72.50Kiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Itô's program. The modern theory of Markov processes was initiated by A. N. Kolmogorov.... more...

#### Introduction to Stochastic Models

Wiley 2013; US$ 140.00This book provides a pedagogical examination of the way in which stochastic models are encountered in applied sciences and techniques such as physics, engineering, biology and genetics, economics and social sciences. It covers Markov and semi-Markov models, as well as their particular cases: Poisson, renewal processes, branching processes, Ehrenfest... more...

#### Markov Chains

Wiley 2014; US$ 115.50Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov chains and provides explanations on how to characterize, simulate, and recognize them. Starting with basic notions, this book leads progressively to advanced and recent topics in the field, allowing the reader to master the main aspects of the classical... more...

#### Level Sets and Extrema of Random Processes and Fields

Wiley 2009; US$ 139.00A timely and comprehensive treatment of random field theory with applications across diverse areas of study Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems... more...

#### Structural Dynamic Analysis with Generalized Damping Models

Wiley 2013; US$ 125.00Since Lord Rayleigh introduced the idea of viscous damping in his classic work "The Theory of Sound" in 1877, it has become standard practice to use this approach in dynamics, covering a wide range of applications from aerospace to civil engineering. However, in the majority of practical cases this approach is adopted more for mathematical convenience... more...

#### Pseudo-Differential Equations And Stochastics Over Non-Archimedean Fields

Taylor and Francis 2001; US$ 262.00Provides comprehensive coverage of the most recent developments in the theory of non-Archimedean pseudo-differential equations and its application to stochastics and mathematical physics--offering current methods of construction for stochastic processes in the field of p-adic numbers and related structures. Develops a new theory for parabolic equations... more...