Moving Average and Exponential Smoothing
Calculate trailing moving averages and simple exponential smoothing for equally spaced observations to examine local trends.
Moving Average and Exponential Smoothing User manual
- Fill in the parameters or select the file according to the form, and check the unit and format first.
- 10, 12, 9, 15, 14, 16 use window 3 and smoothing coefficient 0.3.
- Click the processing button to view the results, you can copy or download and save.
Calculation method and processing rules
The mobile window contains the current point, and the exponential smoothing is initialized with the first value, and only the current and historical data is read.
scope of use
Up to 2000 values, no extrapolation prediction, no missing value or season model; the result is an approximate floating point, which is not suitable for accurate settlement of amount.
Will the input content be saved on the server?
This tool handles input in the browser, and does not upload files or form content. Typing practice scores are only saved in the native browser.
Why may the result be different from other tools?
Up to 2000 values, no extrapolation prediction, no missing value or season model; the result is an approximate floating point, which is not suitable for accurate settlement of amount. Please compare the input unit, rounding method, applicable rules and data version first.