Chronology | Current Month | Current Thread | Current Date |
[Year List] [Month List (current year)] | [Date Index] [Thread Index] | [Thread Prev] [Thread Next] | [Date Prev] [Date Next] |
I misremembered, and therefore mis-stated, what it is that theChi-square distribution does not do. You correctly
state that it becomes Gaussian in the large sample-size limit. What itdoes not do is become
n(0,1) (0-mean, unit variance) as some other distributions do. Thezero-mean part is, of course, trivial because it >just invloves
The correct statement of the CLT is that the means of samplestaken from finite variance distributions tend to
n(0,1) in the large sample-size limit. The are distributions for whichthe CLT fails. See Feller, 2d Ed., Vol. II >(not an easy read).