论文信息 - Edgeworth expansions for sampling without replacement from finite populations

Edgeworth expansions for sampling without replacement from finite populations

The validity of the one-term Edgeworth expansion is proved for the multivariate mean of a random sample drawn without replacement under a limiting non-latticeness condition on the population. The theorem is applied to deduce the one-term expansion for the univariate statistics which can be expressed in a certain linear plus quadratic form. An application of the results to the theory of bootstrap is mentioned. A one-term expansion is also proved in the univariate lattice case.

G. Jogesh Babu | Kesar Singh | G. Babu | Kesar Singh

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