For example, for a dataset generated from lognormal distribution, I estimate a normal distribution from that data (using maximaum-likelyhood or whatever methods).
Then, can I perform K-S test to check the goodness-of-fit of data fit into the estimated normal distribution?
I'm asking this, because from http://itl.nist.gov/div898/handbook/eda/section3/eda35g.htm, it says:
Perhaps the most serious limitation is that the distribution must be fully specified. That is, if location, scale, and shape parameters are estimated from the data, the critical region of the K-S test is no longer valid. It typically must be determined by simulation.
If this is true, then how can I test the goodness-of-fit with estimated model?