September 2012
Intermediate to advanced
486 pages
10h 41m
English
A.2 Chi-squared distribution
X has a chi-squared distribution on ν degrees of freedom, denoted
![]()
if it has the same distribution as
![]()
where
are independent standard normal variates, or equivalently if it has density
![]()
If Y=X/S, where S is a constant, then Y is a chi-squared variate on ν degrees of freedom divided by S, denoted
![]()
and it has density
![]()
The mean and variance are
![]()
The mode is
![]()
and the approximate relationship between mean, mode and median implies that the median is approximately
![]()
at least for reasonably large ν, say .