Abstract
The problem of smoothing a time series for extracting its low frequency characteristics, collectively called its trend, is considered. A competitive approach is proposed and compared with existing methods in choosing the optimal degree of smoothing based on the distribution of the residuals from the smooth trend.
DOI
10.22237/jmasm/1272687240
Included in
Applied Statistics Commons, Social and Behavioral Sciences Commons, Statistical Theory Commons
