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)

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

S#	Lecture	Course	Institute	Instructor	Discipline
1	L21.10 The Poisson Approximation to the Binomial (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
2	L21.1 Lecture Overview (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
3	L21.2 The Bernoulli Process (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
4	L21.3 Stochastic Processes (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
5	L21.4 Review of Known Properties of the Bernoulli Process (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
6	L21.5 The Fresh Start Property (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
7	L21.6 Example: The Distribution of a Busy Period (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
8	L21.7 The Time of the K-th Arrival (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
9	L21.8 Merging of Bernoulli Processes (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences
10	L21.9 Splitting a Bernoulli Process (M-I-T)	Lecture 21: The Bernoulli Process (M-I-T)	MIT	Prof. John Tsitsiklis, Prof. Patrick Jaillet	Applied Sciences