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Confidence Procedures for Two-Sample Problems

Paul Switzer
Biometrika
Vol. 63, No. 1 (Apr., 1976), pp. 13-25
Published by: Oxford University Press on behalf of Biometrika Trust
DOI: 10.2307/2335079
Stable URL: http://www.jstor.org/stable/2335079
Page Count: 13
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Confidence Procedures for Two-Sample Problems
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Abstract

In the usual two-sample problem one is estimating the constant additive effect of a treatment or the additive constant by which two random variables differ. However, if the treatment-effect may depend on the response level, then a more general approach to two-sample problems seems appropriate. We define a treatment-effect function t and characterize distribution-free confidence bounds for the function t both in the case where t has specified parametric forms and in the case where t is not parameterized.

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