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Chapter 2 pp. 49-100

Chapter 2 pp. 49-100. William J. Pervin The University of Texas at Dallas Richardson, Texas 75083. Chapter 2. Discrete Random Variables. Chapter 2. 2.1 Definitions :

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Poisson Process

Poisson Process. Review Session 2 EE384X. Point Processes. Supermarket model : customers arrive (randomly), get served, leave the store Need to model the arrival and departure processes. Server Queue. Departure Process. Arrival Process. What does Poisson Process model?.

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4 transform methods

4 transform methods. pgf. 4-1: X is a binomial RV, B(n,p). Use pgf to calculate the variance of X. 4-2: X is a uniform RV that assumes integers between 1 and M. Calculate Var(X) using its pgf. mgf. 4-3: Find the variance of a Poisson RV with parameter  using mgf. HW4-1.

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