and accurate forecasting. It can be applied to non-seasonal or seasonal time series which can be decomposed into four components (remainder, level, trend and seasonal). This methodology performed well on the M3 and M4-competition data. This package was written based on Ali Sabri Taylan’s PhD dissertation.</p>
    </div>


    <div id="see-also">
    <h2>See also</h2>
    <div class="dont-index"><p>Useful links:</p><ul><li><p><a href="https://github.com/alsabtay/ATAforecasting" class="external-link">https: