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Order and Random Sequences

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Periodically Correlated Random Sequences

, communications, economics, and machine diagnostics. Periodically Correlated Random Sequences presents the main ideas of these processes through the use;

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What Is Random?

of coin tosses, it turns out, are determined from the start, and only our incomplete knowledge makes them look random. Random sequences;

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Algebraic Shift Register Sequences

internet transactions and satellite imagery. Each application requires pseudo-random sequences with specific statistical properties. This book;

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Random Graphs

, quasirandom graphs, random walks on trees, degree sequences, random matroids, central limit theorems, percolations and random subgraphs of the n-cube;

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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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Products of Random Variables

functions Probes sequences of prime divisors and prime numbers Discusses Markov chains, Hilbert spaces, and quotients of random variables;

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Random Matrices And Random Partitions

, martingale differences sequences and Markov chains, etc. These classical theorems are frequently used in the study of random matrices and random;

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Shift Register Sequences

Shift register sequences cover a broad range of applications, from radar signal design, pseudo-random number generator, digital wireless;

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Probability, Statistics, and Random Processes for Engineers

For courses in Probability and Random Processes. Probability, Statistics, and Random Processes for Engineers, 4e is a useful;

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Variant Construction from Theoretical Foundation to Applications

, variant stream ciphers, quantum interference, classical/quantum random sequences, whole DNA sequences, and multiple-valued pulse sequences;

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Statistical Inference in Financial and Insurance Mathematics with R

of independent and identically distributed random variables are frequent and well understood, especially those consisting of probability measures of an;

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Elementary Applications of Probability Theory

simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and;

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Elementary Applications of Probability Theory

simulation. Chapter six contains a lucid account of the convergence of sequences of random variables, with emphasis on the central limit theorem and;

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Probability And Stochastic Processes

provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions;

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Probability And Stochastic Processes

provide direct proofs of the main convergence results for sequences of random variables.The book studies a large range of distribution functions;

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Probability and Random Processes

; multiple random variables; random sequences and series; random processes in linear systems; Markov processes; and power spectral density.

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Basic Probability Theory

of expectation, conditional probability and expectation, and characteristic functions. Subsequent topics include infinite sequences of random variables;

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Lower Previsions

random quantities by a sequences of bounded ones, and, in essence, we identify those for which the induced lower prevision limit does not depend;

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Large Deviations

theorems are presented for i.i.d. sequences, Markov sequences, and sequences with moderate dependence. The rate function is computed explicitly;

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Sequence Analysis Primer

Covers the basic computer analyses used for new DNA sequences and attempts to provide the researcher with the necessary background in order;

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Probability Theory and Stochastic Processes

, with complete proofs and exercises. Random processes play a central role in the applied sciences, including operations research, insurance;

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Characterizations of Exponential Distribution by Ordered Random Variables

and applied probability. Ordered random variables are common in various applications in practice. In this book, characterizations;

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Probability Models

of probability, such as that of a dice or cards, the idea of fairness in games of chance, and the random ways in which, say, birthdays are shared or;

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Information Theory for Electrical Engineers

book consists of four chapters, the first of which explains the entropy and mutual information concept for discrete random variables. Chapter 2;

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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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Functional Gaussian Approximation for Dependent Structures

normal approximations to various examples. The main tools consist of inequalities for dependent sequences of random variables, leading to limit;

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