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Introduction
Introduction
A trend is a characteristic of time series data to go up, down or stay the same over time. Generally, there are two (monotonic and step trend) ways over which trend can be observed within the time series data. The monotonic trend refers to gradual change in the measurement that is consistent in direction over time whereas step trend refers to an abrupt change in the measurement at a specific point in time.
Contents
Contents
Parametric trend methods
Parametric trend methods
Obey some assumptions e.g Linear regression
Non-Parametric trend methods
Non-Parametric trend methods
Do not follow any assumptions except data has to be independent
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