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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

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