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Error bounds for asymptotic expansion of the scale mixtures of the normal distribution
Authors:Ryoichi Shimizu
Abstract:Summary LetX be a standard normal random variable and let σ be a positive random variable independent ofX. The distribution of η=σX is expanded around that ofN(0, 1) and its error bounds are obtained. Bounds are given in terms of E(σ 2V−σ 2−1) k whereσ 2Vσ −2 denotes the maximum of the two quantitiesσ 2 andσ −2, andk is a positive integer, and of E(σ 2−1) k , ifk is even. The Institute of Statistical Mathematics
Keywords:Normal distribution            t-distribution  asymptotic expansion  error bound
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