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| Honours |
Year module |
NQF level: 8 |
Credits: 12 |
| Module presented in English |
Module presented online |
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Co-requisite: STA4803, STA4804 |
| Purpose: About this module: The modules seeks to provide the student with knowledge and principles for application of time series analysis techniques. The successful student will be able to describe components of time series and analyse data using both deterministic and stochastic models (the Box-Jenkins ARIMA and seasonal ARIMA models). Also, students will be able to use spectral (frequency domain) techniques to search for periodicities (seasonalities) and well as modelling changing variance (heteroscedasticity) in a time series, i.e., ARCH and GARCH models. Further, in all these topics, students will be able to use statistical software, e.g. R, identify and solve problems in which responses show responsible decisions using
critical and creative thinking. |