n - Kybernetika
n - Kybernetika
n - Kybernetika
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The Hajek Asymptotics for Finite Population Sampling and Their Ramifications 263<br />
Rosen [31], [32] and Hoist [17], among others, showed that under certain regularity<br />
conditions, as n —* oo,<br />
(Z Nn<br />
- Q Nn<br />
)/d Nn<br />
Z jV(0,1). (3.20)<br />
Further, using the identity that for every x,t > 0, P{U N<br />
(t) > x] = P{Z N<br />
[ X<br />
} < t},<br />
one can derive the asymptotic normality of the normalized version of U N<br />
(t), as<br />
t —• oo. Note that the {Z Nn<br />
,n > 0}, N > N 0<br />
may not generally be a martingale<br />
array, and hence, the proof of (3.20) rests on some sophisticated analysis. Martingale<br />
approximations provide simpler solutions. Let Q N<br />
k = p N<br />
(J N<br />
k), k > 1, and let<br />
X^ =Y Nk<br />
(l + Q Nk<br />
) k - 1 e- nQ "", k>l, X$ = Q; (3.21)<br />
X® = X^-E^W-O (3.22)<br />
= x® - ČÍŽ+EX$Q N<br />
,(1+QN.) k -,<br />
5=0<br />
where B N<br />
k = B(J N<br />
j,<br />
j < k), k > 0, and<br />
rj>> = ^ a N<br />
(s)p N<br />
(s)exp (-np N<br />
(s))[l + PN(s)] k ~ 1 , k > 1; (3.23)<br />
s