Gottfried Helms <[EMAIL PROTECTED]> writes: ... >BC's basic examples were always such with two uniform factors. One was assumed >to be measured exactly (in X1), and the other by a composite of the both (Y1). ... >But - that is only useful, if you have reason to assume, that your population >factors are both unifom, uncorrelated; that your measured items are relatively >error free and not too many factors are involved. If I recall it right from my >fiddling with this last year, with composites of only 4 or more factors the >exploitable differences between the distributional properties are too small >to get good results. (but may be I don't recall it right, currently).
I have snipped a great deal out of your posting, to focus on one point. Based on some primitive work I did early in the year, for sufficient sample size and with uncorrelated variables, the effect was present for some distributions other than uniform. Someone else later made one posting on this subject, where he said he had made some progress on this and had a partial result determining what distributions could be used in linear combinations of RV and still be able to determine which was the independent RV and which was the linear combination. I remember he credited BC at the end of his posting. But, I don't remember who made that posting. . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
