1989•Communications in Statistics - Simulation and ComputationRequires access

A comparison of bootstrap method and Edgeworth expansion in approximating the distribution of sample variance — one sample and two sample cases

Muni S. Srivastava, Yimeng Chan

Open publisher page 3 citations

Abstract

The performance of the bootstrap method and the Edgeworth expansion in approximating the distribution of sample variance are compared when the data are from a non-normal population. Both approximations are very good. so long as the parent population is close to normal.

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What this paper is about

The performance of the bootstrap method and the Edgeworth expansion in approximating the distribution of sample variance are compared when the data are from a non-normal population. Both approximations are very good. so long as the parent population is close to normal.

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Available abstract

The performance of the bootstrap method and the Edgeworth expansion in approximating the distribution of sample variance are compared when the data are from a non-normal population. Both approximations are very good. so long as the parent population is close to normal.

Key concepts: Sample (material), Edgeworth series, Sample variance, Variance (accounting), Statistics, Distribution (mathematics), Mathematics, Econometrics

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