Hello
I have a data sample of grains and the histogram of the
grain size makes me think that the distribution is log-normal.
Is it then reasonable to approximate the density function by a
log-normal distribution, whose variance and mean value
has been calculated from the histogram, i.e.
mean value m = sum [ log x(i)*probability(x(i))]
variance = sum (log x(i) - m)^2
???
Or is it better trying to fit a log normal distribution using
methods such as least square method ?
Thanks for your help
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