I am analyzing the voice telephone traffic of some operators. In this type of
phenomenon is useful to consider the anomalies in the duration in minutes of
conversation but it is very important to take account of another variable:
average time of conversation, the relationship between the duration
I have identified the outlier of the time series "duration of conversation in
minutes" of the telephone traffic to an operator, through residuals
analysis.I must provide an estimate of the abnormality and I thought to
consider the value of the residual and multiply by the coefficient of
variation
results just as the
values corresponding to the festivities.
How can I solve this problem, by maintaining the daily data?
Gabor Grothendieck wrote:
>
> One possibility if you don't have to have days is to reduce it to a
> weekly or monthly
> series.
>
> On Wed, Feb 4,
how can I eliminate the influence of the festivities in a time series with
daily data?I tried to remove them and replace their value with a value of
interpolation using na.approx (). There is an alternative method?
--
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