I know that ground up losses means the total losses before any deductibles, etc.
However, it seems that in a lot of the ASM exercises, sometimes the deductible gets taken off, and other times it gets added back on. I'm currently working on Max Liklihood Estimators (and other related problems), and it seems that for an exponential it just wants sum(xi-d)/n where xi= value, d=deductible(trunc. point) and n is the number of uncensored observations. Yet, for a Pareto, it seems to add the deductible back to the loss rather than subract it off like in the exponential (Look at problems 33.4-33.6 in the 11th edition of the ASM for a reference of what I am talking about).
Can someone please clarify? My assumption is that for ground up you always add the deductible back for anything that isn't exponential, but you can subtract the deductible for exponential because it is memoryless? However, if someone well-versed could confirm....


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