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A strictly stationary process (or time series) is one whose joint distribution is constant over time shifts. A weakly stationary (or covariance stationary) process or series is one whose mean and covariance function (variance and autocorrelation function) do not change over time.

5 votes
3 answers
12k views

Non-Stationary Time Series Forecasting

Suppose I have a non-stationary limited data. Do I have to make it stationary before making forecasts? Can I use exponential smoothing, moving averages or even Holt Winters methods without making my d …
fatih's user avatar
  • 231
0 votes
1 answer
870 views

Is this a stationary time series?

I have a wait-time time series for 10 weekdays(2 weeks) with 10 minutes intervals. I'm having hard time to interpret this? Is this stationary? I also applied Philips-Perron Unit root test and I got th …
fatih's user avatar
  • 231