Hello I would be very grateful if anyone of you could give me (in short) a list of assumptions about data (dimensions, frequencies in contingency table, distribution etc) under which one can perform Loglinear analysis (ML estimation). ...And, if there are any diffrences, in Logit modelling. I've read a few books in the subject (written for social scientists, so not very "mathematical"), but I haven't found a full list of assumptions underlying these procedures. Thankl you in advance for any help Micha� Bojanowski [EMAIL PROTECTED] =========================================================================== This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===========================================================================
