I have a time-series of daily revenue data for a number of years and I would like to perform a parametric distribution fit to the data. Given that distribution fitting requires i.i.d. data, I presume I cannot use standard methods. This is only for exploratory data analysis and verify some hypothesis on the form of the data. More specifically, a histogram of the data shows that the revenue is log-normally distributed and I would like to find the mean and standard deviation.

I found this and this question but they did not seem to help me a lot.


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