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An Introduction to Random Currents and Their Applications

. Methods to extend random distributions to random currents are introduced and analyzed in this book. Beginning with an overview of mathematical;

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An Introduction to Exponential Random Graph Modeling

Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely;

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Elementary Applications of Probability Theory

This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological;

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Elementary Applications of Probability Theory

This book provides a clear and straightforward introduction to applications of probability theory with examples given in the biological;

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Topological Complexity of Smooth Random Functions

These notes, based on lectures delivered in Saint Flour, provide an easy introduction to the authors' 2007 Springer monograph Random;

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Randomness and Elements of Decision Theory Applied to Signals

real-world problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal;

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Level Sets and Extrema of Random Processes and Fields

processes and fields, and the most modern research findings are also discussed. The authors begin with an introduction to the basic concepts;

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Introduction to Random Signals and Noise

grounding, this text provides a clear introduction to the fundamentals of stochastic processes and their practical applications to random signals;

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Understanding Markov Chains

This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains and their applications, with a;

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Limit Distributions for Sums of Independent Random Vectors

-world phenomena. Limit Distributions for Sums of Independent Random Vectors includes a coherent introduction to limit distributions and these;

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A Signal Theoretic Introduction to Random Processes

. The book is also an excellent reference for research engineers and scientists who need to characterize random phenomena in their research.;

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An Introduction to Statistical Signal Processing

process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating;

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An Introduction to Statistical Signal Processing

process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating;

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Branching Random Walks

Providing an elementary introduction to branching random walks, the main focus of these lecture notes is on the asymptotic properties;

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Random Walk and Diffusion Models

This book offers an accessible introduction to random walk and diffusion models at a level consistent with the typical background;

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Probability, Random Variables, And Random Signal Principles

student exercises and practical applications for engineers to understand probability concepts. It covers discrete-time random processes and;

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Introduction to Probability: Models and Applications

random, continuous random, and stochastic independence-multivariate random variables; transformations of random variables; covariance-correlation;

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Ocean Engineering Mechanics

structures in regular and random seas. An introduction to the soil-structure interactions is also included. The book can be used for both;

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Random Numbers and Computers

Numbers and Computers is an essential introduction or refresher on pseudorandom numbers in computer science. The first comprehensive book;

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Ocean Currents

Ocean Currents: Physical Drivers in a Changing World opens with a general introduction to the character, measurement, and simulation;

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Variation-Aware Advanced CMOS Devices and SRAM

understanding of process-induced random variation as well as the introduction of novel CMOS device structures and their application to SRAM. The;

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Generalized Linear Models with Random Effects

reference provides an introduction to various theories and examines likelihood inference and GLMs. The authors show how to extend the class of GLMs;

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Random Walk, Brownian Motion, and Martingales

. Random Walk, Brownian Motion, and Martingales is an ideal introduction to the rigorous study of stochastic processes. Students and instructors;

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Tensor-Valued Random Fields for Continuum Physics

counterparts are rigorously given in full detail. The book also discusses, an introduction to a range of continuum theories requiring TRFs, an;

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Introduction to Probability Theory with Contemporary Applications

and clear examples, written in plain language, expose students to the rules and methods of probability. Suitable for an introductory;

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Markov Chains

also how actually to apply it. Both discrete-time and continuous-time chains are studied. A distinguishing feature is an introduction to more;

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Intelligent Random Walk

applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and;

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