Example 15-6. Show that the m.g.f. of Y = log x², where x² follows chi-square distribution with n d.f., is given by My(t) = 2' (+ t) / r(n/2) If x1? and x2² are independent x²-variates each with n d.f. and U = %/ deduce that for positive integer k, E(U*) = r( + x) r( -k) / [F()]

MATLAB: An Introduction with Applications
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Example 15-6. Show that the m.g.f. of Y = log x², where x² follows chi-square
distribution with n d.f., is given by
My(t) = 2' T+ i) / r(n/2}
If X1? and x2² are independent x²-variates each with n d.f. and U = %;"/X2, deduce that
for positive integer k,
%3D
E(U')-r(플+)r(플-)/ [r(3)T
2
2
Transcribed Image Text:Example 15-6. Show that the m.g.f. of Y = log x², where x² follows chi-square distribution with n d.f., is given by My(t) = 2' T+ i) / r(n/2} If X1? and x2² are independent x²-variates each with n d.f. and U = %;"/X2, deduce that for positive integer k, %3D E(U')-r(플+)r(플-)/ [r(3)T 2 2
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