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Some Random Series of Functions

Now in a paperback edition for the first time, this second edition of Some Random Series of Functions covers random series in Banach and;

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Probability and Random Processes

work. The text covers set theory, combinatorics, random variables, discrete and continuous probability, distribution functions, convergence;

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Random Processes for Image Signal Processing

"This book gives readers an intuitive appreciation for random functions, plus theory and processes necessary for sophisticated applications;

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Morphological Models of Random Structures

This book covers methods of Mathematical Morphology to model and simulate random sets and functions (scalar and multivariate). The;

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A Window into Zeta and Modular Physics

), including graph zeta functions; (2) modular forms (Eisenstein series, Hecke and Dirichlet L-functions, Ramanujan's tau function, and cusp forms;

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Window Into Zeta And Modular Physics

), including graph zeta functions; (2) modular forms (Eisenstein series, Hecke and Dirichlet L-functions, Ramanujan's tau function, and cusp forms;

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Cyclostationary Processes and Time Series

Many processes in nature arise from the interaction of periodic phenomena with random phenomena. The results are processes that are not;

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Probability

: * Probability spaces, random variables, and other fundamental concepts* Laws of large numbers and random series, including the Law of the Iterated;

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Random Fourier Series with Applications to Harmonic Analysis. (AM-101), Volume 101

In this book the authors give the first necessary and sufficient conditions for the uniform convergence a.s. of random Fourier series on;

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Probability Theory and Statistical Applications

of random variables. The book is directed to students of mathematics, statistics, engineering, and other quantitative sciences, in particular to;

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Integration, Measure and Probability

of analysis and explores more specialized topics, including convergence theorems and random sequences and functions.The initial part is devoted;

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Probability and Statistics

covers applied topics such as model building and experiment design. Contents Random phenomena Probability Random variables Expected;

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Ranks of Elliptic Curves and Random Matrix Theory

Random matrix theory is an area of mathematics first developed by physicists interested in the energy levels of atomic nuclei, but it can;

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Random Fields for Spatial Data Modeling

This book provides an inter-disciplinary introduction to the theory of random fields and its applications. Spatial models and spatial data;

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Introduction to Probability Theory with Contemporary Applications

This introduction to probability theory transforms a highly abstract subject into a series of coherent concepts. Its extensive discussions;

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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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Calculus and Statistics

of random variables and graphs, the derivative, applications of the derivative, sequences and series, and integration. Additional topics include the;

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Diophantine Approximation and Dirichlet Series

of examples connected to continued fractions, the famous Bohr point of view, and then the use of random Dirichlet series to produce non-trivial;

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Basic Probability Theory

as its major field of application, the text opens with a review of basic concepts, advancing to surveys of random variables, the properties;

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London Mathematical Society Lecture Note Series

and Halasz and study the pointwise convergence of the Ramanujan expansion. Finally, some applications to power series with multiplicative;

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Nonvolatile Memory Design

, Resistive, and Phase Changing introduces three promising candidates: phase-change memory, magnetic random access memory, and resistive random access;

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Nonvolatile Memory Design

, Resistive, and Phase Changing introduces three promising candidates: phase-change memory, magnetic random access memory, and resistive random access;

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Stochastic Tools in Turbulence

proceeds to examinations of moments, characteristic functions, and the Gaussian distribution; random functions; and random processes in more;

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Gaussian Random Processes

for mutual absolute continuity (equivalence) of probability distributions of a random process segment and of finding effective formulas for;

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Complex Analysis with Applications

series, and residues, distinguished mathematical writer Richard Silverman presents the fundamentals of complex analysis in a concise manner;

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Series of Bessel and Kummer-Type Functions

This book is devoted to the study of certain integral representations for Neumann, Kapteyn, Schloemilch, Dini and Fourier series of Bessel;

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Fractional Dynamics on Networks and Lattices

This book analyzes stochastic processes on networks and regular structures such as lattices by employing the Markovian random walk approach;

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