Time Series Analysis

Time series analysis involves statistical techniques to analyze time-ordered data points, allowing for forecasting and understanding trends over time. It is commonly used in various fields such as finance, economics, and environmental science. Techniques include autoregressive integrated moving average (ARIMA), seasonal decomposition, and exponential smoothing.