Lecture 23: The Poisson Process Part II (M-I-T)

L23.1 Lecture Overview (M-I-T)

L23.2 The Sum of Independent Poisson Random Variables (M-I-T)

L23.3 Merging Independent Poisson Processes (M-I-T)

L23.4 Where is an Arrival of the Merged Process Coming From? (M-I-T)

L23.5 The Time Until the First (or Last) Lightbulb Burns Out (M-I-T)

L23.6 Splitting a Poisson Process (M-I-T)

L23.7 Random Incidence in the Poisson Process (M-I-T)

L23.8 Random Incidence in a Non–Poisson Process (M-I-T)

L23.9 Different Sampling Methods Can Give Different Results (M-I-T)

S23.1 Poisson Versus Normal Approximations to the Binomial (M-I-T)

S23.2 Poisson Arrivals During an Exponential Interval (M-I-T)