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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 21: The Bernoulli Process (M-I-T) » L21.2 The Bernoulli Process (M-I-T)

L21.2 The Bernoulli Process (M-I-T)

Course:Lecture 21: The Bernoulli Process (M-I-T)
Discipline:Applied Sciences
Institute:MIT
Instructor(s): Prof. John Tsitsiklis, Prof. Patrick Jaillet
Level:Graduate

Lecture 21: The Bernoulli Process (M-I-T)

L21.10 The Poisson Approximation to the Binomial (M-I-T)
L21.1 Lecture Overview (M-I-T)
L21.2 The Bernoulli Process (M-I-T)
L21.3 Stochastic Processes (M-I-T)
L21.4 Review of Known Properties of the Bernoulli Process (M-I-T)
L21.5 The Fresh Start Property (M-I-T)
L21.6 Example: The Distribution of a Busy Period (M-I-T)
L21.7 The Time of the K-th Arrival (M-I-T)
L21.8 Merging of Bernoulli Processes (M-I-T)
L21.9 Splitting a Bernoulli Process (M-I-T)

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