The Annals of Mathematical Statistics

Robust Estimation in Analysis of Variance

E. L. Lehmann
Source: Ann. Math. Statist. Volume 34, Number 3 (1963), 957-966.

Abstract

In linear models with several observations per cell, estimates of all contrasts are given whose small and large sample behaviour is analogous to that of the estimate of a shift parameter proposed in [2]. In particular, the asymptotic efficiency of these estimates relative to the standard least squares estimates, as the number of observations in each cell gets large, is shown to be the same as the Pitman efficiency of the Wilcoxon test relative to the $t$-test.

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Permanent link to this document: http://projecteuclid.org/euclid.aoms/1177704018
JSTOR: links.jstor.org
Digital Object Identifier: doi:10.1214/aoms/1177704018
Mathematical Reviews number (MathSciNet): MR152071
Zentralblatt MATH identifier: 0203.21106


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The Annals of Mathematical Statistics

The Annals of Mathematical Statistics

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