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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Accepted Answer
Torsten
on 23 Jun 2015
2 Comments
Torsten
on 25 Jun 2015
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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