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

Royall, Richard; Tibshirani, R.J. [Series Editor]

ISBN 10: 0412044110 ISBN 13: 9780412044113

Editorial: CRC Press, 1997

Idioma: Ingl�s

Condici�n: Usado - Como Nuevo Encuadernaci�n de tapa dura

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Unmarked hardcover in pristine condition. Owner's name and date on inside cover.

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Detalles bibliogr�ficos

T�tulo

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

Editor

CRC Press

Fecha de publicaci�n

1997

Idioma

Ingl�s

ISBN 10

0412044110

ISBN 13

9780412044113

Encuadernaci�n

hardcover

Estado

As New

Cat�logos de vendedores

MATHEMATICS

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Sinopsis

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 of the work of Neyman and Pearson and the Fisher paradigm, the author proposes an alternative paradigm which provides, in the law of likelihood, the explicit concept of evidence missing from the other paradigms. At the same time, this new paradigm retains the elements of objective measurement and control of the frequency of misleading results, features which made the old paradigms so important to science. The likelihood paradigm leads to statistical methods that have a compelling rationale and an elegant simplicity, no longer forcing the reader to choose between frequentist and Bayesian statistics.

Acerca del autor

Richard Royall

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Specializing in french literature, philosophy, art and fiction. Local estates near Washington DC.

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