05.03.2013 Views

Looking Elsewhere and Looking Everywhere (a.k.a. Multiple Testing ...

Looking Elsewhere and Looking Everywhere (a.k.a. Multiple Testing ...

Looking Elsewhere and Looking Everywhere (a.k.a. Multiple Testing ...

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.

Exploiting Dependence Between Test Statistics<br />

Westfall-Young Single Step Permutation Procedure<br />

Under the complete H0, the joint distribution of (Y1, . . . , YT ) is the<br />

same as the distribution of g(Y1, . . . , YT ), for any permutation g,<br />

g(Y1, . . . , YT ) = (Y π(1), . . . , Y π(T )),<br />

where π(·) : {1, . . . , T } → {1, . . . , T } is a bijection.<br />

Therefore, under H0, the distribution of W ∗ = sup t Wt can be<br />

approximated, by considering all possible permutations of<br />

(Y1, . . . , YT ) (re-calculating the supremum of individual test statistics<br />

for each permutation g in the set of all T ! permutations, say G).<br />

This will give us approximate quantiles for the distribution of<br />

W ∗ = sup t Wt under H0, upon which we can base testing<br />

Q1−α ≈ ˆQ1−α := inf<br />

⎧<br />

⎨<br />

1 <br />

w ∈ R : 1<br />

⎩ T !<br />

W ∗ g ≤ w ⎫<br />

⎬<br />

≥ 1 − α<br />

⎭<br />

Victor M. Panaretos (EPFL) Progress on Statistical Issues in Searches SLAC – June 2012 15 / 25<br />

g∈G

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

Saved successfully!

Ooh no, something went wrong!