Ancillaries and Conditional Inference

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How researchers see this paper

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Fisher and Regression (2005, background): “[See Fraser (2004) for a recent discussion of Welch’s argument.]”
Generalized Fiducial Inference: A Review and New Results (2016, background): “Another related approach is based on higher order likelihood expansions and implied data-dependent priors (Fraser 2004, 2011; Fraser, Reid, and Wong 2005; Fraser and Naderi 2008; Fraser, Fraser, and Staicu 2009; Fraser et al. 2010).”
ANCILLARY STATISTICS: A REVIEW (2010, methodology): “Key words and phrases: Ancillarity paradox, approximate ancillary, estimating functions, hierarchical Bayes, local ancillarity, location, location-scale, multiple ancillaries, nuisance parameters, P -ancillarity, p-values, S-ancillarity, saddlepoint approximation.”
Improved likelihood inference for discrete data (2006, unknown): “Finally we consider the more restricted model p.θ/= 1 4 ( 2+θ 1−θ 1−θ θ ) , 0 θ 1: This appears in discussions of ancillarity by Fisher (1956), Basu (1964) and Fraser (1979, 2004) and has the unusual feature that the row totals and column totals are each ancillary statistics for θ but the combinat”