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Asymptotic Methods in Statistical Inference - Statistics Centre

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160<br />

• Example 1. =3,( 1 2 3 )=(8 3 5), =<br />

median of , ˆ = 5. A bootstrap sample might<br />

be X ∗ =(8 8 5), obta<strong>in</strong>ed by randomly draw<strong>in</strong>g<br />

three values, with replacement, from (8 3 5). In<br />

this case ∗ =8. After repetitions of the procedureweapproximate<br />

( ˆ )(still<strong>in</strong>case(i)<br />

above) by<br />

∗ = 1 <br />

X<br />

=1<br />

X<br />

³ √ <br />

³<br />

<br />

∗<br />

− ˆ ´<br />

≤ ´<br />

= 1 ³ √ ³<br />

3 <br />

∗<br />

<br />

− 5´<br />

≤ ´<br />

<br />

=1<br />

Thus ∗ ∼ 1 ³ ( ˆ )´<br />

, hence → ( ˆ )<br />

as →∞.<br />

• In this example ( ˆ ) can be computed exactly<br />

— there are only 3 3 = 27 possible resamples, with<br />

medians ∗ =(8 3 5) occurr<strong>in</strong>g with probabilities<br />

(under ˆ )of(7 7 13) 27. These are the<br />

probabilities of the three possible values of<br />

√<br />

3(<br />

∗ − 5), and then one easily calculates<br />

( ˆ )= ˆ <br />

h√<br />

3(<br />

∗ − 5) ≤ i

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