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<strong>Ozean</strong> Journal of Applied Sciences 4(4), 2011<br />

E ( ˆ )<br />

2<br />

Var(<br />

ˆ) <br />

<br />

<br />

<br />

<br />

<br />

<br />

( ˆ )<br />

Var ( ˆ) <br />

2<br />

2<br />

1 <br />

( ˆ )<br />

Exp <br />

Var(<br />

ˆ) <br />

2Var(<br />

ˆ) <br />

E ˆ 2<br />

2 1 1 Z<br />

2 / 2<br />

( ) Var(<br />

ˆ) Z<br />

e Var(<br />

ˆ ) dZ<br />

2<br />

Var(<br />

ˆ) <br />

E(<br />

ˆ )<br />

2<br />

Var(<br />

ˆ) <br />

<br />

<br />

<br />

Z<br />

2<br />

1<br />

e<br />

2<br />

Z<br />

2 / 2<br />

dZ<br />

ˆ 2<br />

2<br />

E(<br />

)<br />

Var ( ˆ) E(<br />

Z ) Var(<br />

ˆ) <br />

~<br />

2 2<br />

MSE(<br />

) ( K 1)<br />

Var(<br />

ˆ) 2K(<br />

K 1)(<br />

Zero)<br />

K<br />

~<br />

2 2<br />

2<br />

MSE(<br />

) ( K 1)<br />

Var(<br />

ˆ) K Var(<br />

ˆ) <br />

~<br />

2 2 2<br />

MSE( ) Var(<br />

ˆ) ( K 1)<br />

K<br />

… (28)<br />

<br />

<br />

2<br />

Var(<br />

ˆ) <br />

… (29)<br />

2<br />

<br />

d ˆ <br />

<br />

By the same way the mean error squares for estimator shrinkage ( ~ ) can be yielded by the following function:<br />

MSE( ~ )<br />

K<br />

<br />

2 2 2<br />

Var( ~ ) ( K 1)<br />

<br />

… (30)<br />

<br />

The relative efficient for the estimated ~ and ~ for the estimators ˆ and ˆ which can be calculated by<br />

Restricted Least Square method (RLS):<br />

~ MSE( ˆ) <br />

R.<br />

E(<br />

) ~<br />

MSE(<br />

)<br />

~ Var(<br />

ˆ) <br />

R.<br />

E(<br />

) <br />

2 2<br />

Var(<br />

ˆ) (<br />

K 1)<br />

K<br />

~<br />

2 2 2 <br />

R.<br />

E(<br />

) (<br />

K 1)<br />

K 1<br />

( ˆ)<br />

( ~ MSE <br />

R.<br />

E ) <br />

MSE( ~ )<br />

( ˆ)<br />

( ~ Var <br />

R.<br />

E ) <br />

2 2<br />

Var( ~ ) ( K 1)<br />

K<br />

R.<br />

E( ~ ) <br />

2<br />

<br />

… (31)<br />

<br />

2 2 2 <br />

(<br />

K 1)<br />

K 1<br />

2<br />

<br />

… (32)<br />

To calculate K value that make ( )<br />

squares calculated for K and equaling it to 0:<br />

~<br />

MSE and (~<br />

)<br />

MSE the least, the first derivative for the mean error<br />

~<br />

MSE( )<br />

2<br />

2( K 1)<br />

Var(<br />

ˆ) 2K Var(<br />

ˆ) <br />

K<br />

~<br />

MSE(<br />

)<br />

0<br />

K<br />

401

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