Statistical Evidence; a Likelihood Paradigm (Monographs on Statistics and Applied Probablity, 71)

Royall, Richard

Editore: Chapman & Hall/CRCl, London, 2000

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Octavo. 191 pages, index, bibliography. An important study of a possible alternative to both the Neyman-Pearson and the Fisherian approaches to the problem of interpreting data as evidence. It concentrates on the law of likelihood, providing a definition of this before defining a new paradigm to compare evidential support for one hypothesis over another. It gives some examples of the use of this paradigm before briefly discussing Bayesian methods. The book opens with a discussion of evidence. A near fine copy bound in black paper covered boards lettered in white, spine lettering white. Very nice.

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• Titolo: Statistical Evidence; a Likelihood Paradigm (Monographs on Statistics and Applied Probablity, 71)
• Editore: Chapman & Hall/CRCl, London
• Data di pubblicazione: 2000
• Cataloghi dei venditori:
  • Crime and Criminal Gangs
  • Mathematics