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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.
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Identifying Early Indicators Time Series Analysis
I have a time series representing demand for a product which looks as follows:
Clearly, this time series shows an upward trend and it's variance does seem non-stationary as well.
Further, I have …