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Switching processes, invented by the author in 1977, is the main tool used in the investigation of traffic problems from automotive to telecommunications. The title provides a new approach to low traffic problems based on the analysis of flows of rare events and queuing models.
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The aim of this book is to fill this gap and to show how recent methods of stochastic finance can be useful for to the risk management of pension funds. Methods of... Læs mere
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One of the first books to provide in-depth and systematic application of finite element methods to the field, Stochastic Structural Dynamics presents and illustrates direct integration methods for analyzing the statistics of the response of structures to stochastic loads.
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Solutions Manual to accompany Fundamentals of Matrix Analysis with Applications - an accessible and clear introduction to linear algebra with a focus on matrices and engineering applications .
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The design and analysis of biological experiments and the handling of large amounts of data generated requires a good working knowledge of statistical... Læs mere
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Uniquely combining theory, application, and computing, this book explores the spectral approach to time series analysis The use of... Læs mere
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Converted into a paperback format, at a reduced price Markov Processes: Characterization and Convergence is ideal as a graduate text and/or reference on Markov Processes and their relationship to operator semigroups.
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Levy Processes in Credit Risk is an introductory guide to using Levy processes for credit risk modelling, covering all types of credit derivatives: from the single name vanillas such as CDSs right through to structured credit risk products such as CPPIs and CPDOs.
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This 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.
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This book provides comprehensive coverage of matrix theory from a geometric and physical perspective, and the authors address the functionality of matrices and their ability to illustrate and aid in many practical applications.
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This book uniquely combines queuing networks with Bayesian, Boolean, and random networks and provides an interdisciplinary approach by including applications in biology, communications, mathematics, engineering, and operations management.