b = (XτX)-1 XτY (b = Schätzer für
b)
e = Y - Xb (e = Schätzer für e)
s2 = (eτe/(n - p)) (s = Schätzer für s, n:
scans, p: parameter)
Var(cτb) = s2cτ(XτX)-1c
(c = contrastvektor)
t = cτb / sqrt(Var(cτb)) -> output: spm_t* img
/.hdr
under
the null hypothesis H0 : t ~ Student(
df ) df = n-p