Time Series Analysis
Time Series Analysis is a statistical technique used to identify patterns in datasets that track changes over time, such as stock prices, weather, or population size. It is used to identify trends, seasonality, and underlying factors that influence the data. Time Series Analysis is widely used in forecasting, which helps businesses plan for the future and make better decisions. It is also used in various fields such as economics, engineering, and finance, as well as in research, such as understanding climate change or predicting infectious diseases. By uncovering patterns in the data, Time Series Analysis helps to make better decisions, optimize resources and obtain better results.
← Journal of Model Based Research