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Bottom Trawl Surveys - Proceedings of a Workshop Held at Ottawa ...

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163<br />

APPENDIX 1: FIND AN UNBIASED VARIANCE ESTIMATOR<br />

FOR VAR(W3).<br />

1 n<br />

Var (113) Var { n+ 1 }; xi }<br />

_L<br />

n+l<br />

2<br />

i=l<br />

n<br />

Var ( L xi)<br />

n<br />

i=1<br />

1 2 }; Var(xi)<br />

ii+I i=l<br />

2<br />

n.cr , assuming<br />

Xi ••• , Xn are i.i.d. random<br />

variables<br />

Therefore, the variance estim<strong>at</strong>or, in order<br />

to be unbiased, must have an expected value <strong>of</strong><br />

[ntr] 2<br />

n<br />

• n.cr2. Note th<strong>at</strong> the estim<strong>at</strong>or<br />

2 = }; (xi-x)2 has an expected value equal to<br />

cr i=l ---<br />

n-1<br />

cr2 (Mood et al. 1974). Therefore, an unbiased<br />

estim<strong>at</strong>or <strong>of</strong> Var(W3) would be<br />

Var(W3) ·= n<br />

n<br />

(n+1)2<br />

l:<br />

i=l

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