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Pure Likelihood Methods

In: Introductory Statistical Inference with the Likelihood Function

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  • Charles A. Rohde

    (Johns Hopkins University, Bloomberg School of Health)

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?

Suggested Citation

  • Charles A. Rohde, 2014. "Pure Likelihood Methods," Springer Books, in: Introductory Statistical Inference with the Likelihood Function, edition 127, chapter 0, pages 197-209, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-10461-4_17
    DOI: 10.1007/978-3-319-10461-4_17
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