How can I fit the following two set of data to a left skewed gamma function, which I what I think should fit the data best?:
data 1 is here: https://pastebin.com/X2HTjTP7 data 2 is here: https://pastebin.com/8Rh4BHDT
Is there any other suggestion of what would be the best distribution or equation to fit the data?
EDIT: I tried using FindDistributionParameters[data2,GammaDistribution[Alpha,[Beta]]]
but I get a message saying "FindDistributionParameters::ntsprt: One or more data points are not in support of the process or distribution GammaDistribution[[Alpha],[Beta]]."
A picture of how data 1 looks is here:
A picture of how data 2 looks is here:
Thank you in advanced,
FindDistributionParameters[]
? $\endgroup$ – J. M.'s ennui♦ May 19 '20 at 2:36FindDistributionParameters[data2, GammaDistribution]
. Additionally, I am not sure how to put it to be left skewed Gamma distribution $\endgroup$ – John May 19 '20 at 2:48FindDistributionParameters
would be appropriate. But what you have is a curve that has a shape like a reverse gamma distribution and therefore you want to perform a regression withNonlinearModelFit
. $\endgroup$ – JimB May 19 '20 at 4:10