What are time series models and how do they work?
Time series models are statistical techniques used to analyze time-ordered data points. They help in forecasting future values based on past observations.
Can you explain the different types of time series models?
Sure! Common types include ARIMA, Seasonal Decomposition, and Exponential Smoothing. Each has its own strengths depending on the data characteristics.
How do I choose the right model for my data?
Choosing the right model depends on the data's seasonality, trend, and noise. It's often useful to visualize the data and test multiple models.
What are some applications of time series models?
They are widely used in finance for stock price prediction, in economics for GDP forecasting, and in supply chain management for inventory control.
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