Consider a population with a uniform distribution on the range 0
to ?. Consider a sample of size 2 from this population and define
the sample range ? = ???(?1,?2) − ???(?1,?2).Find ??(?),the PDF of
?.
We have n samples of ???????(0,?). ?? = ???{?1,?2,…,??}; ?1 =
{?1,?2,…,??}. The joint PDF of ??,?1 is
??1,??(?1,??) =
? ? − 2
[??(??) − ??(??)]?−2??(?1)??(??) =
? ? − 2
[
?? ?
−
?1 ?
]
?−2
∙
1 ?
∙
1 ?
=
? ? − 2
(?? − ?1)?−2
To find distribution of ? = ?? − ?1 ??? ? = ?1;
⇒
?? = ? + ? ?1 = ?
}(?1,??) ⟶ (?,?)
Jacobian transformation,
|?| = |
??1 ??
??1 ??
??2 ??
??2 ??
| = |
0 1 1 1
| = −1
∴ ??,?(?,?) =
? ? − 2
??−2; −? < ? < ? ??? 0 < ? < ?.
So,
??(?) = ∫ ?(? − 1)??−2?? = ?(? − 1)???−2; −? < ? < ? ?
0
b. Use your answer to part (a) to find the constant c such that ?
< ? < ?? is a 100(1 − ?)% confidence interval for ?.
Now, ?? − ?1 = ? ⇒
?? ?
−
?1 ?
=
? ?
?? ?ℎ? ???????????? ?? ?.
To find c, such that,
?(? < ? < ??) = 1 − ?
= ?(1 <
? ?
< ?) = 1 − ? ⇒ ?( ? ?
< ? < ?) = 1 − ? ⇒ ??(?) − ?? ( ? ?
) = 1 − ?
⇒ ?? ( ? ?
) = ? [∵ ??(?) = 1] ⇒ ∫ ?(? − 1)??−2??? ? ? −?
= ?
⇒ ?(? − 1)? ∙
1 ? − 1
∙ ??−1 |? ? ⁄ −?
= ?
⇒ ??{( ? ?
) ?−1
− (−?)?−1} = ? ⇒ ??? {( 1 ?
) ?−1
− (−1)?−1} = ? ⇒ ( 1 ?
) ?−1
=
? ???
+ (−1)?−1
⇒ ? = {
1
? ??? + (−1)?−1
}
1 ?−1
Repeat (a) and (b) for a sample of size n.
Consider a population with a uniform distribution on the range 0 to ?. Consider a sample...
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