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Inferential Models
book

Inferential Models

by Ryan Martin, Chuanhai Liu
September 2015
Intermediate to advanced content levelIntermediate to advanced
276 pages
9h 7m
English
Chapman and Hall/CRC
Content preview from Inferential Models
Chapter 7
Marginal Inferential Models
Portions of the material in this chapter are from R. Martin and C. Liu, “Marginal
inferential models: prior-free probabilistic inference on interest parameters,” Journal
of the American Statistical Association, to appear, 2015, reprinted with permission
by the American Statistical Association, www.amstat.org.
7.1 Introduction
In statistical inference problems, it is often the case that only some component or,
more generally, some feature of the parameter θ is of interest. For example, in lin-
ear regression, with θ = (β,σ
2
), often only the vector β of slope coefficients is of
interest, even though the error variance ...
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Publisher Resources

ISBN: 9781439886519