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PRACTICE EXAMINATION NO. 6<br />

2<strong>1.</strong> Let X( 1)<br />

,..., X( n)<br />

be the order statistics from the uniform distribution on [0, 1]. Find the<br />

correlation coefficient of X( 1)<br />

and X( n)<br />

.<br />

A. ! 1<br />

n<br />

B. ! 1<br />

n + 1<br />

C. 0 D. 1<br />

n + 1<br />

1<br />

E.<br />

n<br />

Solution.<br />

If X is uniform on [0, 1], so is 1 – X, and order statistics for a random sample for X are in reverse<br />

order of the order statistics of 1 – X, so that<br />

( ) = 1 ! E X n<br />

E X( 1)<br />

Var X( 1)<br />

( ( ) ),<br />

( ) = Var( 1! X( n)<br />

) = Var X n<br />

Observe that<br />

( x)<br />

= 1! x n ,<br />

sX( n)<br />

so that<br />

E( X( n)<br />

) = 1 ! x n<br />

1<br />

" ( ) dx =<br />

0<br />

n<br />

n + 1 .<br />

This implies that<br />

( ) = 1 ! E X n<br />

E X( 1)<br />

We also have<br />

x<br />

and<br />

fX( n)<br />

2<br />

E X n<br />

This implies that:<br />

( ) = nx n!1 ,<br />

( ( ) ) = x 2 ! nx n"1<br />

1<br />

#<br />

0<br />

( ) = n<br />

( ( ) ) = 1! n<br />

n + 1<br />

1<br />

( ( ) ).<br />

= 1<br />

n + 1 .<br />

dx = n x n+1<br />

# dx = n<br />

n + 2 .<br />

0<br />

( )2 ! n 2 n + 2<br />

( )<br />

( ) 2 ( n + 2)<br />

( ( ) ).<br />

Var X( n)<br />

n + 2 !<br />

n 2<br />

n n + 1<br />

n<br />

2 = =<br />

( n + 1)<br />

n + 1<br />

( n + 1)<br />

2 ( n + 2)<br />

= Var X 1<br />

The joint density of X( 1)<br />

and X( n)<br />

is determined from observing that if X( 1)<br />

is in (x, x + dx) and<br />

X( n)<br />

is in (y, y + dy), with x < y, then n – 2 pieces of the random sample must be in the interval<br />

( x, y),<br />

and the probability of this is<br />

n!<br />

fX( 1)<br />

, X ( x, y)<br />

= y ! x<br />

( n)<br />

( n ! 2)!<br />

( )n!2 dxdy.<br />

Therefore,<br />

ASM Study Manual for Course P/1 Actuarial Examination. © Copyright 2004-2007 by Krzysztof Ostaszewski - 277 -

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