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June, 1988 Generalizations of Ancillarity, Completeness and Sufficiency in an Inference Function Space
Christopher G. Small, D. L. McLeish
Ann. Statist. 16(2): 534-551 (June, 1988). DOI: 10.1214/aos/1176350819

Abstract

In this paper we introduce $E$-ancillarity and complete $E$-sufficiency, natural extensions of the definitions of ancillarity and complete sufficiency to a space of estimating or inference functions. These are functions of both the data and the parameter. We begin either with a space of all such functions or with a subset defined to exploit special features of a model; for example, we allow restrictions to inference functions that are linear in the observations or linear in the parameter. Subsequently, a reduction analogous to complete sufficiency is carried out, and within the complete $E$-sufficient space of inference functions, one is chosen with properties that we deem desirable.

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Christopher G. Small. D. L. McLeish. "Generalizations of Ancillarity, Completeness and Sufficiency in an Inference Function Space." Ann. Statist. 16 (2) 534 - 551, June, 1988. https://doi.org/10.1214/aos/1176350819

Information

Published: June, 1988
First available in Project Euclid: 12 April 2007

zbMATH: 0684.62012
MathSciNet: MR947561
Digital Object Identifier: 10.1214/aos/1176350819

Subjects:
Primary: 62A99
Secondary: 62B99

Rights: Copyright © 1988 Institute of Mathematical Statistics

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Vol.16 • No. 2 • June, 1988
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