Arrival and Departure Processes

Related lectures (29)

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Covers deterministic and stochastic rainfall models in water resources engineering, including generation, calibration, and spatially explicit models.

Explores random walks on discrete spaces and their properties, including multivariate random variables and Poisson distributions.

Explores theory and applications of multivariate extremes, emphasizing fitting marginal and dependence models together for accurate estimation.

Covers stochastic models for communications, focusing on queueing theory with an in-depth analysis of the M/G/1 queue.

Explores Poisson processes, joint density, independence of events, and likelihood estimation.

Covers the application of extreme value theory to point processes and the estimation of extreme events from equally-spaced time series.

Covers the estimation of R in Poisson processes, focusing on marking points and convergence.

Delves into queueing theory with the M/G/Infinity queue model, covering arrival and departure processes, system stability, and state probabilities.