I'm looking for goodness of fit tests for gamma distributions with large data
sizes and for different data.
I have a matrix with around 4.000 data values about losses and there is a
heavy right-tail in it.
I have fitted a gamma distribution with "fitdistr".
You can see the example:
fitdistr
I'm looking for goodness of fit tests for gamma distributions with large data
sizes and for different data.
I have a matrix with around 4.000 data values in it and i have fitted a
gamma distribution with "fitdistr".
You can see the example:
> fitdistr(corpo,"gamma",lower=0.001)
Errore in op
I'm looking for goodness of fit tests for gamma distributions with large data
sizes. I have a matrix with around 10,000 data values in it and i have
fitted a gamma distribution over a histogram of the data.
The problem is testing how well that distribution fits. Chi-squared seems to
be used more
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