Working on a series of distributions that are positively truncated, meaning that you can't have a zero value. I'm 99% certain I can solve this normally with the distribution platform by simply offsetting the base data by 1, but I was curious if there was another way to do a zero-truncated poisson in JMP.
Same question for some of the exponential family of continuous distributions now that I think of it. I know the Weibull has the threshold option, and I swear I've seen a threshold output on the Gamma, but it doesn't look like an option for the actual fit.. Is my best bet to solve the truncation to simply offset the data?
