1. Confidence, likelihood, probability: an invitation; 2. Interference in parametric models; 3. Confidence distributions; 4. Further developments for confidence distribution; 5. Invariance, sufficiency and optimality for confidence distributions; 6. The fiducial argument; 7. Improved approximations for confidence distributions; 8. Exponential families and generalised linear models; 9. Confidence distributions in higher dimensions; 10. Likelihoods and confidence likelihoods; 11. Confidence in non- and semiparametric models; 12. Predictions and confidence; 13. Meta-analysis and combination of information; 14. Applications; 15. Finale: summary, and a look into the future.
This is the first book to develop a methodology of confidence distributions, with a lively mix of theory, illustrations, applications and exercises.
Tore Schweder is a Professor of Statistics in the Department of Economics and at the Centre for Ecology and Evolutionary Synthesis at the University of Oslo. Nils Lid Hjort is Professor of Mathematical Statistics in the Department of Mathematics at the University of Oslo.
'This book presents a detailed and wide-ranging account of an
approach to inference that moves the discipline towards increased
cohesion, avoiding the artificial distinction between testing and
estimation. Innovative and thorough, it is sure to have an impact
both in the foundations of inference and in a wide range of
practical applications of inference.' Nancy Reid, University
Professor of Statistical Sciences, University of Toronto
'I recommend this book very enthusiastically to any researcher
interested in learning more about advanced likelihood theory, based
on concepts like confidence distributions and fiducial
distributions, and their links with other areas. The book explains
in a very didactical way the concepts, their use, their
interpretation, etc., illustrated by an impressive number of
examples and data sets from a wide range of areas in statistics.'
Ingrid Van Keilegom, Université Catholique de Louvain
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