29.07.2014 Views

Asymptotic Methods in Statistical Inference - Statistics Centre

Asymptotic Methods in Statistical Inference - Statistics Centre

Asymptotic Methods in Statistical Inference - Statistics Centre

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

207<br />

• Multiparameter <strong>in</strong>ferences. Test (simple null)<br />

: θ = θ 0 vs. : θ 6= θ 0 where θ is × 1<br />

<br />

and 1 ∼ ( θ). The multiparameter<br />

versions of the tests given above are as follows.<br />

(Note: all evaluations from now on will assume<br />

that is true.)<br />

— Wald’s test:<br />

√ <br />

³ˆθ − θ 0´ → <br />

³<br />

0 I −1 ( 0 )´<br />

⇒<br />

2 = ³ˆθ − θ 0´0<br />

I (0 ) ³ˆθ − θ 0´ → <br />

2 <br />

and is rejected if 2 2 (). The correspond<strong>in</strong>g<br />

confidence region is the -dimensional<br />

ellipsoid<br />

½<br />

θ ³ˆθ ¾<br />

0 | − θ 0´0<br />

Î <br />

³ˆθ − θ 0´<br />

≤ <br />

2 () <br />

where Î = I ³ˆθ ´<br />

or −<br />

1<br />

¨ <br />

³ˆθ ´.<br />

— Likelihood ratio test:<br />

2∆ =2 ³ <br />

³ˆθ ´<br />

− (θ 0 )´ → <br />

2

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!