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Products of Random Variables

Products of Random Variables explores the theory of products of random variables through from distributions and limit theorems, to;

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Limit Theorems and Applications of Set-Valued and Fuzzy Set-Valued Random Variables

variables is a natural extension of that of general real-valued random variables or random vectors. However, owing to the topological structure;

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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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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Gaussian Hilbert Spaces

This book treats the very special and fundamental mathematical properties that hold for a family of Gaussian (or normal) random variables;

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Statistics 2 (International)

combinations of random variables, continuous random variables, sampling and estimation, and hypothesis tests.;

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What Makes Variables Random

What Makes Variables Random: Probability for the Applied Researcher provides an introduction to the foundations of probability that;

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Computing and Random Numbers

Computing and Random Numbers examines various aspects of random numbers and variables including an extensive overview of Computing and;

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Probability

blended with coverage of probability laws, random variables, and distribution theory, equipping the reader to be a true problem solver and;

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Asymptotics of Random Matrices and Related Models

asymptotics of the sum of independent variables. However, there are many models of strongly correlated random variables: for instance, the eigenvalues;

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Randomness and Elements of Decision Theory Applied to Signals

This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving;

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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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Recent Developments in Ordered Random Variables

The ordered random variables play important roles in the theory and practice of statistics. They possess significant statistical properties;

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Probability, Random Variables, and Random Processes

Probability, Random Variables, and Random Processes is a comprehensive textbook on probability theory for engineers that provides a more;

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First Course in Probability

: Combinatorial Analysis; Axioms of Probability; Conditional Probability and Independence; Random Variables; Continuous Random Variables; Jointly;

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Probability, Random Variables, Statistics, and Random Processes

Probability, Random Variables, Statistics, and Random Processes: Fundamentals & Applications is a comprehensive undergraduate-level;

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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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Sub-Independence

The concept of sub-independence is defined in terms of the convolution of the distributions of random variables, providing a stronger sense;

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On the Rate of Convergence of Series of Random Variables

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On the Rate of Convergence of Series of Random Variables

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Random Matrices And Random Partitions

partitions. It mainly consists of three parts. Part I is a brief review of classical central limit theorems for sums of independent random variables;

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Systems of Frequency Distributions for Water and Environmental Engineering

by random variables. These variables are described by frequency distributions. This book provides an overview of different systems;

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Probability and Random Processes

variables, distributions and density functions to operations on a single random variable. There are also discussions on pairs of random variables;

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Multivariate Probability

variables Bivariate distributions and the general theory of random vectors Relationships between random variables Normal linear model and;

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Uniform Limit Theorems for Sums of Independent Random Variables

Among the diverse constructions studied in modern probability theory, the scheme for summation of independent random variables occupies a;

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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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Stable Non-Gaussian Random Processes

random variables. It discusses the most basic sample path properties of stable processes, namely sample boundedness and continuity.;

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