Why not just combine all the data and fit it?
If the sample space and weights are similar for the five measurements and the assumptions of similar noise distribution hold, then the two results will be essentially the same; there being a sizable difference would be indicative of something not being consistent amongst the datasets--of course, that probably would show up by a significant difference in estimates from one set to another as well.
