Statistical Evidence: A Likelihood Paradigm
Richard Royall
"...provides the explicit concept of evidence missing from the
other approaches."
-Aslib Book Guide
"…the book is well written and readable."
--Hoben Thomas, Journal of Mathematical Psychology
"This (hardback) book provides a very readable discussion of a
possible alternative to both the Neyman-Pearson and the Fisherian
approaches to the problem of interpreting data as evidence…present
this area of work in a accessible manner with a clear readable
style. The main ideas are made easy to understand and well
illustrated with some interesting examples, including in an
appendix the paradox of the ravens. Diagrams and tables are well
used in this respect and the number of formulae is kept low, which
aids readability…provides a well-presented discussion of an
interesting new way of looking at data which would be accessible to
most with some understanding of statistics. For this reason I would
recommend it to a library."
--Thomas Chadwick, University of Newcastle, Biometrics
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