36-618 Time Series and Experimental Design

12 units, Carnegie Mellon University

This course covers fundamentals of experimental design including various ANOVA models, Latin squares and factorial and fractional factorial designs. The time series components covers exponential smoothing models and ARIMA, including seasonal models and transfer function models. Special topics are intermittent. For Masters in Statistical Practice students only.

Prerequisites: 36-601 (min C) and 36-617 (min C)

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