Theoretical Statistics
Time series analysis is a statistical technique used to analyze time-ordered data points to identify trends, seasonal patterns, and cyclical movements over time. This method allows for understanding the underlying structure of data collected at consistent intervals, which is essential in various applications such as forecasting and anomaly detection. By applying time series analysis, one can model and predict future values based on past observations, making it a valuable tool in various fields including finance, economics, and environmental science.
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