How to fit a log-normal dist. to data in x-data and y-data format using 'lognfit'?
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Hi,
This is the problem: I have a set of points to which I'd like to fit the log-normal distribution. I have two vectors for their X and Y values. I ran into 'lognfit' function which just accept a single vector as its input. I know this can be performed by something like 'lsqcurvefit', but I need to get the confidence intervals for the mu and sigma which 'lognfit' function returns easily as its output. Could anyone help please?
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Torsten
2015-6-23
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Torsten
2015-6-25
If you have the original data from which the (X,Y) vectors have been derived, you should work with them and use "lognfit" to get mu and sigma. I guess the confidence intervals for the parameters will be different if you explicitly know the underlying distribution.
Best wishes
Torsten.
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