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Published in:
2014 | OriginalPaper | Chapter
17. Pure Likelihood Methods
Author : Charles A. Rohde
Published in: Introductory Statistical Inference with the Likelihood Function
Publisher: Springer International Publishing
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Abstract
As we have seen in previous chapters use of the likelihood is important in frequentist methods and in Bayesian methods. In this chapter we explore the use of the likelihood function in another context, that of providing a self-contained method of statistical inference. Richard Royall in his book, Statistical Evidence: A Likelihood Paradigm, carefully developed the foundation for this method building on the work of Ian Hacking and Anthony Edwards. Royall lists three questions of interest to statisticians and scientists after having observed some data
1.
What do I do?
2.
What do I believe?
3.
What evidence do I now have?