Affiliation:
1. Department of Statistics, University of Chicago, 5747 S.~Ellis~Avenue, Chicago, Illinois~60637, U.S.A
Abstract
Summary
Quantile matching is a strictly monotone transformation that sends the observed response values to the quantiles of a given target distribution. A profile likelihood-based criterion is developed for comparing one target distribution with another in a linear-model setting.
Publisher
Oxford University Press (OUP)
Subject
Applied Mathematics,Statistics, Probability and Uncertainty,General Agricultural and Biological Sciences,Agricultural and Biological Sciences (miscellaneous),General Mathematics,Statistics and Probability
Reference8 articles.
1. Rank-based inverse normal transformations are increasingly used, but are they merited?;Beasley,;Behav. Genet.,2009
2. A rankit analysis of paired comparisons for measuring the effect of sprays on flavor;Bliss,;Biometrics,1956
3. An analysis of transformations;Box,;J. R. Statist. Soc.,1964
4. Rank regression;Cuzick,;Ann. Statist.,1988
5. An extension of partial likelihood methods for proportional hazard models to general transformation models;Doksum,;Ann. Statist.,1987
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