- #1
Niles
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Hi
I'm not sure this is the right place to post, but I'll go ahead. In my book it says that if I am dealing with an overdetermined problem with m data points and n parameters (so m>n), then my observed chi square X2obs follows a X2 distribution with m-n degrees of freedom if the data points are normally distributed.
I thought that the number of degrees of freedom was always m-n, regardless of what distribution my data follows. Am I right or is it correct what the book is stating?
I'm not sure this is the right place to post, but I'll go ahead. In my book it says that if I am dealing with an overdetermined problem with m data points and n parameters (so m>n), then my observed chi square X2obs follows a X2 distribution with m-n degrees of freedom if the data points are normally distributed.
I thought that the number of degrees of freedom was always m-n, regardless of what distribution my data follows. Am I right or is it correct what the book is stating?