Bonus Question ... if I have three flavors of Life Distribution data, A, B and C, of common origin but different stress conditions, I might want to 'constrain' parameter p to be common all three, p=pA = pB = pC and likewise for b=bA=bB=bC, fitting the two (rather than six) parameters across the three datasets, while allowing for and fitting to unique values for parameters aA aB and aC
Thus fitting for 5 parameters rather than 9