13.07.2015 Views

SAMPLE MOMENTS 1.1. Moments about the origin (raw moments ...

SAMPLE MOMENTS 1.1. Moments about the origin (raw moments ...

SAMPLE MOMENTS 1.1. Moments about the origin (raw moments ...

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

6 <strong>SAMPLE</strong> <strong>MOMENTS</strong>E ( [Mn2 ) n]1 =n E ∑Xi2 − E [ ¯X 2 ]ni=1(2= 1 n∑µ ′ 1n∑i,2 − µ ′nni,1)− Var( ¯X n )i=1= µ ′ 2 − (µ′ 1 )2 − σ2n= σ 2 − 1 n σ2= n − 1ni=1σ 2 (31)where µ ′ 1 and µ ′ 2 are <strong>the</strong> first and second population <strong>moments</strong>, and µ 2 is <strong>the</strong> second central populationmoment for <strong>the</strong> identically distributed variables. Note that this obviously implies[∑ n(E Xi − ¯X ) ]2i=1= nE ( )Mn2( ) n − 1(32)= nσ 2n=(n − 1) σ 24.2.3. Variance of M 2 n. By definition,Var ( Mn2 ) [ (M ) ]= E2 2n − ( EMn) 2 2(33)The second term on <strong>the</strong> right on equation 33 is easily obtained by squaring <strong>the</strong> result in equation 31.E ( Mn2 ) n − 1 = σ 2n⇒ ( E ( (34)))Mn2 2 ( )= EM2 2 (n − 1) 2n =n 2 σ 4Now consider <strong>the</strong> first term on <strong>the</strong> right hand side of equation 33. Write it as[ (M )2 2]E n⎡(=E ⎣1n) ⎤ 2 n∑ (Xi − ¯X) 2n⎦ (35)i =1Now consider writing 1 n∑ ni =1(Xi − ¯X n) 2as follows

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!