STAT 161: Introduction to Probability Models

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Units: 4

Hours: Lecture, 3 hours; discussion, 1 hour

Catalog page 562

Prerequisites: STAT 160B or equivalent with a grade of “C-” or better

Description: Covers Compound distributions, branching processes. and random walk. Explores continuous time models such as Poisson process and queuing models. Examines the Markov property and introduces Markov chains. Also covers simple time series models.

Derived Information — The following is not part of the official catalog but is computed from catalog data.

Serves as a prerequisite for

STAT 215 STAT 216A
Prerequisite graph not available.
Enrollment History (from UCR Banner, not catalog)
Year F W S Su Total
2021-22  1/25  1/25
2020-21 10/25 10/25
2019-20  1/25  1/25
2018-19 16/25 16/25
2017-18 24/25 24/25
2016-17 11/27 11/27