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- W2020422010 abstract "Integral large deviation theorems are obtained for multidimensional hypergeometric distribution. These theorems allow us to evaluate the probabilities of large deviations with the remainder term of order~$O(1/N)$. The corresponding hypergeometric distribution of a random vector $(mu_1ldotsmu_s)$ has the form {bf{P}}{(mu_1ldotsmu_s)=(k_1ldots k_s)}=frac{C_{M_1}^{k_1}cdots C_{M_s}^{k_s}}{C_N^n},, and $k_jle M_j$, $j=1ldots s$; 0~in the remaining cases." @default.
- W2020422010 created "2016-06-24" @default.
- W2020422010 creator A5090002233 @default.
- W2020422010 date "2003-01-01" @default.
- W2020422010 modified "2023-09-26" @default.
- W2020422010 title "Integral Limit Theorems on Large Deviations for Multidimensional Hypergeometric Distribution" @default.
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- W2020422010 doi "https://doi.org/10.1137/s0040585x97979457" @default.
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