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Asymptotic Methods in Statistical Inference - Statistics Centre

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50<br />

• <strong>Asymptotic</strong> tests are generally not unique, <strong>in</strong> that<br />

they have ‘equivalent’ modifications. Two sequences<br />

of tests, with rejection regions and<br />

0 and test statistics and are asymptotically<br />

equivalent if, under , the probability of<br />

their lead<strong>in</strong>g to the same conclusion tends to 1:<br />

( ∈ and ∈ )+<br />

0<br />

( ∈ and ∈ ) 0 → 0 (5.2)<br />

• Now consider AN test statistics with differ<strong>in</strong>g estimates<br />

of scale. We test : = 0 vs. : 0<br />

us<strong>in</strong>g<br />

( √ )<br />

( − <br />

= | =<br />

0 )<br />

<br />

ˆ <br />

( √ )<br />

0 ( − <br />

= | =<br />

0 )<br />

<br />

where ˆ and ˆ 0 are consistent estimates of ( 0 )<br />

and is ( 0 2 ( 0 ) ) under. Then<br />

<br />

→ Φ, so that (5.2) holds, e.g. the first<br />

ˆ 0

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