QBUS 320 - Time Series Analysis

Description
Time series data occur when describing trends or when tracking internal organizational pratices which may have internal structures such autocorrelation, seasonal variation, and cyclical trends. Techniques for exploring this type of data include regression, autoregressive modeling, random walks, smoothing and decomposition of time series, and qualitative techniques. Prerequisites: QBUS-210. (ATTR: BUS)
Credits
3
Attributes
BUS
Recent Professors
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Recent Semesters
Fall 2019, Fall 2018
Offered
MWF
Avg. Class Size
25
Avg. Sections
1