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#### Topics in Stochastic Processes

Elsevier Science 2014; US$ 72.95Topics in Stochastic Processes covers specific processes that have a definite physical interpretation and that explicit numerical results can be obtained. This book contains five chapters and begins with the L2 stochastic processes and the concept of prediction theory. The next chapter discusses the principles of ergodic theorem to real analysis,... more...

#### Stochastic Convergence

Elsevier Science 2014; US$ 72.95Stochastic Convergence, Second Edition covers the theoretical aspects of random power series dealing with convergence problems. This edition contains eight chapters and starts with an introduction to the basic concepts of stochastic convergence. The succeeding chapters deal with infinite sequences of random variables and their convergences, as well... more...

#### An Introduction to Stochastic Modeling

Elsevier Science 2014; US$ 93.95An Introduction to Stochastic Modeling, Revised Edition provides information pertinent to the standard concepts and methods of stochastic modeling. This book presents the rich diversity of applications of stochastic processes in the sciences. Organized into nine chapters, this book begins with an overview of diverse types of stochastic models, which... more...

#### Applied Stochastic Processes

Elsevier Science 2014; US$ 72.95Applied Stochastic Processes is a collection of papers dealing with stochastic processes, stochastic equations, and their applications in many fields of science. One paper discusses stochastic systems involving randomness in the system itself that can be a large dynamical multi-input, multi-output system. Examples of a large system are the national... more...

#### Basic Stochastic Processes

Wiley 2015; US$ 130.00 US$ 112.67This book presents basic stochastic processes, stochastic calculus including Lévy processes on one hand, and Markov and Semi Markov models on the other. From the financial point of view, essential concepts such as the Black and Scholes model, VaR indicators, actuarial evaluation, market values, fair pricing play a central role and will be presented.... more...

#### A Scenario Tree-Based Decomposition for Solving Multistage Stochastic Programs

Vieweg+Teubner Verlag 2011; US$ 119.00Motivated by practical optimization problems occurring in energy systems with regenerative energy supply, Debora Mahlke formulates and analyzes multistage stochastic mixed-integer models. For their solution, the author proposes a novel decomposition approach which relies on the concept of splitting the underlying scenario tree into subtrees. Based... more...

#### Random Perturbations of Dynamical Systems

Springer Berlin Heidelberg 2012; US$ 101.08This third edition has been substantially revised and updated, with fresh chapters and augmented bibliographical references. It remains a very detailed and profound mathematical treatment of the long-term behavior of randomly perturbed dynamical systems. more...

#### Upper and Lower Bounds for Stochastic Processes

Springer Berlin Heidelberg 2014; US$ 101.08In addition to its central focus on generic chaining, which allows for optimal bounds in Gaussian and Bernoulli processes, this volume on modern stochastic methods includes key applications and a variety of complete solutions to a number of classical problems. more...

#### Optimal Stochastic Control Schemes within a Structural Reliability Framework

Springer International Publishing 2013; US$ 54.99?The book addresses the topic of on-line implementation of structural and mechanical design criteria as an explicit part of optimal control schemes. The intention of the present research monograph is to reflect recent developments within this area. Examples of application of relevant control algorithms are included to illustrate their practical implementation.... more...

#### Introduction to Empirical Processes and Semiparametric Inference

Springer New York 2007; US$ 157.24The goal of this book is to introduce statisticians, and other researchers with a background in mathematical statistics, to empirical processes and semiparametric inference. These powerful research techniques are surpr- ingly useful for studying large sample properties of statistical estimates from realistically complex models as well as for developing... more...