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Characterizations of Exponential Distribution by Ordered Random Variables

of exponential distribution using ordered random variables are presented. Most of the known results as well as many new results are given in this book;

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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 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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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

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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Probability Concepts in Engineering Planning and Design

. Concluding Remarks Problems 3. Analytical Models of Random Phenomena 3.1. Random Variables 3.1.1. Probability Distribution of a Random Variable 3.1.2;

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Advanced Probability Theory for Biomedical Engineers

distribution for a single random variable is determined from a function of two random variables using the CDF. Then, the joint probability distribution;

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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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Statistics 2 (International)

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

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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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Order Statistics

This volume provides an up-to-date coverage of the theory and applications of ordered random variables and their functions. Furthermore, it;

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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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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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An Introduction to Benford's Law

random variables, including tools from the theory of uniform distribution. After introducing the scale-, base-, and sum-invariance;

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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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Statistics 1 (International)

, permutations and combinations, probability, discrete random variables and the normal distribution.;

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New Developments in Applied Statistics

exponential distribution; inference and prediction for a generalised logistics distribution; minimum perpendicular distance squared method estimation;

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Exponential Distribution

The exponential distribution is often used to model the failure time of manufactured items in production. If X denotes the time to failure;

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

After the pioneering works by Robbins {1944, 1945) and Choquet (1955), the notation of a set-valued random variable (called a random closed;

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Asymptotics for Associated Random Variables

and characterizations, followed by a collection of relevant inequalities. These are then applied to characterize almost sure and weak;

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The Exponential Distribution

The exponential distribution is one of the most significant and widely used distribution in statistical practice. It possesses several;

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Uniform Limit Theorems for Sums of Independent Random Variables

situations. This book is devoted to the study of distributions of sums of independent random variables with minimal restrictions imposed on their;

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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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Probability Theory

: Probabilities Conditional Probabilities and Independence Random Variables and Their Distribution Operations on Random Variables Expected Value;

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Fuzzy Probability and Statistics

Poisson,binomial) and continuous (uniform, normal, exponential) fuzzy random variables. From FS we included chapters on fuzzy estimation and fuzzy;

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