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Home » Applied Sciences » Engineering » Electrical Engineering and Computer Science (M-I-T) » Introduction to Probability (Spring 2018) (M-I-T) » Part III: Random Processes (M-I-T) » Lecture 22: The Poisson Process Part I (M-I-T) » L22.6 A Simple Example (M-I-T)

L22.6 A Simple Example (M-I-T)

Course:Lecture 22: The Poisson Process Part I (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:Graduate

Lecture 22: The Poisson Process Part I (M-I-T)

L22.10 An Example (M-I-T)
L22.1 Lecture Overview (M-I-T)
L22.2 Definition of the Poisson Process (M-I-T)
L22.3 Applications of the Poisson Process (M-I-T)
L22.4 The Poisson PMF for the Number of Arrivals (M-I-T)
L22.5 The Mean and Variance of the Number of Arrivals (M-I-T)
L22.6 A Simple Example (M-I-T)
L22.7 Time of the K–th Arrival (M-I-T)
L22.8 The Fresh Start Property and Its Implications (M-I-T)
L22.9 Summary of Results (M-I-T)

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