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September, 1956 Sufficient Statistics with Nuisance Parameters
D. A. S. Fraser
Ann. Math. Statist. 27(3): 838-842 (September, 1956). DOI: 10.1214/aoms/1177728191

Abstract

For some problems involving a parameter of interest and a nuisance parameter, it is possible to define a statistic sufficient for the parameter of interest. The definition has a number of applications in nonparametric theory. Two theorems are derived and used by way of illustration to prove that the sign test is a uniformly most powerful test for the nonparametric form of the single sample problem of location.

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D. A. S. Fraser. "Sufficient Statistics with Nuisance Parameters." Ann. Math. Statist. 27 (3) 838 - 842, September, 1956. https://doi.org/10.1214/aoms/1177728191

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Published: September, 1956
First available in Project Euclid: 28 April 2007

zbMATH: 0073.14904
MathSciNet: MR80411
Digital Object Identifier: 10.1214/aoms/1177728191

Rights: Copyright © 1956 Institute of Mathematical Statistics

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Vol.27 • No. 3 • September, 1956
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