time series analyses

What are the Common Methods Used in Time Series Analysis?


Several methods are commonly used in time series analysis in epidemiology. These include:
Autoregressive Integrated Moving Average (ARIMA): A sophisticated model that combines autoregressive models, differencing of observations, and a moving average model.
Seasonal Decomposition of Time Series (STL): This method decomposes a time series into seasonal, trend, and irregular components.
Exponential Smoothing: A technique that applies weighted averages to past observations to predict future values.
Fourier Transform: Used for identifying periodicities in time series data.

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