👉 Beth Math is a statistical method used for forecasting time series data, particularly when the data exhibits trends or seasonality. It combines the principles of exponential smoothing with a method to estimate the trend component, allowing for more accurate predictions. The core idea is to use past observations to smooth out fluctuations and capture underlying patterns, with the trend component being updated iteratively based on new data. This approach is especially useful for data that changes over time, as it adapts to these changes more dynamically than simpler methods like moving averages. By incorporating both the level (current values) and trend components, Beth Math provides a balanced and responsive forecasting tool that can handle various types of time series data effectively.
