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The rate of convergence to the normal law for sampling without replacement. (Russian) Zbl 0574.60028
Let \((\nu_{\ell 1},...,\nu_{\ell m})\) be a random Boolean vector, where \(\nu_{\ell m}=1\) if the m-th element of a finite population of volume N is chosen in the l-th sampling of volume \(n_{\ell}\) \((\ell =1,...,s)\), and \(\nu_{\ell m}=0\) otherwise, \(m=1,...,N\), \(\nu_{\ell 1}+...+\nu_{\ell N}=n_{\ell}\), \(\ell =1,...,s\). Let \(f_{jm}^{(N)}(x_ 1,...,x_ s)\) be a random function of a Boolean vector \((x_ 1,...,x_ s)\), \(j=1,...,k\); \(m=1,...,N\), and \(S_{jN}=\sum^{N}_{m=1}f_{jm}^{(N)}(\nu_{1m},..,\nu_{sm})\), \(j=1,...,k\). The rate of convergence of order 1/\(\sqrt{N}\) to a multidimensional normal law is proved for a vector \((S_{1N},...,S_{kN})\).
Reviewer: N.Leonenko

MSC:
60F05 Central limit and other weak theorems
60C05 Combinatorial probability
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