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Definitions at a Glance Formulae at a Glance Objective Type Questions Chapter 2: Random Variables (Discrete and Continuous) Introduction 2.1 Random Variable 2.2 Probability Mass Function (PMF) 2.3 Probability Density Function (PDF) 2.4 Joint Probability Distributions 2.5 Joint Density Function F (X, Y) 2.6 Stochastic Independence It can be used by both students and practitioners in engineering, various sciences, finance, and other related fields. While the subject matter is primarily mathematical, it is presented for engineers. Building a probability model. 3. The book has the following features: Book Description. This book covers the following topics: Basic Concepts of Probability Theory, Random Variables, Multiple Random Variables, Vector Random Variables, Sums of Random Variables and Long-Term Averages, Random Processes, Analysis and Processing of Random Signals, Markov Chains, Introduction to Queueing Theory and . 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