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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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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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Modeling Ordered Choices

of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the;

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Modeling Ordered Choices

of sophistication that can allow for heterogeneity in the threshold parameters, in the explanatory variables (through random parameters), and in the;

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Probability And Stochastic Processes

for random variables and processes: Bernoulli, multinomial, exponential, Gamma, Beta, Dirichlet, Poisson, Gaussian, Chi2, ordered variables;

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Probability And Stochastic Processes

for random variables and processes: Bernoulli, multinomial, exponential, Gamma, Beta, Dirichlet, Poisson, Gaussian, Chi2, ordered variables;

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Recent Developments in Several Complex Variables. (AM-100), Volume 100

The description for this book, Recent Developments in Several Complex Variables. (AM-100), will be forthcoming.;

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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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Applied Statistical Science III

Ordered Random Variables; Estimation of the Location Parameter of A Cauchy Distribution Using A Ranked Set Sample; On A Delayed Service Queuing;

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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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Concentration Inequalities

Concentration inequalities for functions of independent random variables is an area of probability theory that has witnessed a great;

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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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Structural Reliability and Time-Dependent Reliability

-solving. It introduces the topic and background, before dealing with probability models for random variables. It then explores simulation;

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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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First Course in Probability

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

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Statistics 2 (International)

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

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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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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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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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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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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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Ordered Porous Solids

The developments in the area of ordered nanoporous solids havemoved beyondthe traditional catalytic and separation uses and given;

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Advances in Disordered Systems, Random Processes and Some Applications

approach in statistical mechanics of disordered systems. The volume moreover explores results on extreme values of correlated random variables and;

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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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