In exponentially smoothed time series,the smoothing constant w is chosen on the basis of how much smoothing is required.In general,a small value of w such as 0.1 results in very little smoothing,while a large value of w such as 0.8 results in too much smoothing.

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In exponentially smoothed time series, a small value of w (e.g., 0.1) results in more smoothing because it gives more weight to past observations, while a large value of w (e.g., 0.8) results in less smoothing because it gives more weight to the most recent observation.

In Exponentially Smoothed Time Series,the Smoothing Constant W Is Chosen