Bibliographic Information

Likelihood

A.W.F. Edwards

(Johns Hopkins paperbacks)

Johns Hopkins University Press, 1992

Expanded ed

  • : pbk

Available at  / 9 libraries

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Note

"Originally published in 1972 by Cambridge University Press. Johns Hopkins paperback edition, 1992"--T.p. verso

Includes bibliographical references (p. 259-264) and index

Description and Table of Contents

Description

This new and expanded edition of A. W. F. Edwards' classic volume on scientific inference presents his most important published articles on the subject. Edwards argues that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but that of likelihood, the concept introduced by Fisher as a measure of relative support among different hypotheses. Starting from the simplest considerations and assuming no more than a basic acquaintancewith probability theory, the author sets out to reconstruct a consistent theory of statistical inference in science. Using the likelihood approach, he explores estimation, tests of significance, randomization, experimental design, and other statistical topics. Likelihood is important reading for students and professionals in biology, mathematical sciences, and philosophy.

Table of Contents

Preface Preface to the 1972 edition Prologue on probability Chapter 1. The Framework of Inference Chapter 2. The Concept of Likelihood Chapter 3. Support Chapter 4. Bayes' Theorem and inverse probability Chapter 5. Maximum Support: The Method of Maximum Likelihood Chapter 6. The Method of Support for Several Parameters Chapter 7. Expected information and the distribution of evaluates Chapter 8. Application in anomalous cases Chapter 9. Support Tests Chapter 10. Miscellaneous topics Epilogue Appendix 1. A problem in the doctrine of chances Appendix 2. The history of likelihood Appendix 3. Fiducial distributions Appendix 4. The likelihood treatment of linear regression Appendix 5. R.A. Fisher's work on statistical inference Notes References Tables of support limits of t and X2 Index

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