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PDF of Lecture Notes - School of Mathematical Sciences

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1. DISTRIBUTION THEORY<br />

Consider the identity:<br />

n∑<br />

n∑<br />

(X i − µ) 2 = (X i − ¯X) 2 + n( ¯X − µ) 2<br />

i=1<br />

i=1<br />

(subtract and add ¯X to first term)<br />

⇒<br />

n∑<br />

i=1<br />

(X i − µ) 2<br />

σ 2 =<br />

n∑<br />

i=1<br />

(X i − ¯X) 2<br />

σ 2 +<br />

( ) 2 ¯X − µ<br />

σ/ √ n<br />

and let R 1 =<br />

R 2 =<br />

n∑ (X i − µ) 2<br />

i=1<br />

n∑<br />

i=1<br />

σ 2<br />

(X i − ¯X) 2<br />

σ 2 =<br />

(n − 1)S2<br />

σ 2<br />

R 3 =<br />

( ) 2 ¯X − µ<br />

σ/ √ n<br />

If M 1 , M 2 , M 3 are the MGFs for R 1 , R 2 , R 3 respectively, then,<br />

M 1 (t) = M 2 (t)M 3 (t) since R 1 = R 2 + R 3<br />

with R 2 and R 3 independent<br />

↓ ↓<br />

depends depends only<br />

only on on ¯X<br />

Next, observe that R 3 =<br />

( ) 2 ¯X − µ<br />

σ/ √ ∼ χ 2 1<br />

n<br />

S 2<br />

⇒ M 2 (t) = M 1(t)<br />

M 3 (t) .<br />

⇒ M 3 (t) =<br />

1<br />

(1 − 2t) 1/2 ,<br />

69

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