[PDF.17pp] Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

[PDF.nv44] Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

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 | #949795 in Books |  1997-06-01 | Original language:English | PDF # 1 |  9.00 x5.75 x.75l,.70 | File type: PDF | 191 pages

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||7 of 7 people found the following review helpful.| Enlightening|By Vinz|Royall provides a clear and readable exposition of why likelihood ratios are the best measure of "experimental evidence" available. The text is mostly prose with occasional mathematical statements, but the math lies hidden in the prose. It is almost a quantitative philosophical viewpoint of statistics as a way of interpreting data as evidence.

Co| |...provides the explicit concept of evidence missing from the other approaches.|-Aslib Book Guide |…the book is well written and readable.|--Hoben Thomas, Journal of Mathematical Psychology|This (hardback) book provides a very readable discussion of a p

Interpreting statistical data as evidence, Statistical Evidence: A Likelihood Paradigm focuses on the law of likelihood, fundamental to solving many of the problems associated with interpreting data in this way. Statistics has long neglected this principle, resulting in a seriously defective methodology. This book redresses the balance, explaining why science has clung to a defective methodology despite its well-known defects. After examining the strengths and weaknesses...

You can specify the type of files you want, for your gadget.Statistical Evidence: A Likelihood Paradigm (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)   |  Richard Royall. A good, fresh read, highly recommended.

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