Articles liés à Statistical Evidence
Synopsis
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.
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À propos de l?auteur
Richard Royall
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- ÉditeurChapman and Hall/CRC
- Date d'édition2023
- ISBN 10 1032478004
- ISBN 13 9781032478005
- ReliureBroché
- Langueanglais
- Nombre de pages208
- Coordonnées du fabricantnon disponible
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STATISTICAL EVIDENCE
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Chapman and Hall/CRC, 2023
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ISBN 13 : 9781032478005
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Statistical Evidence: A Likelihood Paradigm
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 208 pp. Englisch. N° de réf. du vendeur 9781032478005
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Statistical Evidence (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
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Chapman and Hall/CRC, 2023
ISBN 10 : 1032478004
ISBN 13 : 9781032478005
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Statistical Evidence: A Likelihood Paradigm
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Statistical Evidence : A Likelihood Paradigm
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ISBN 13 : 9781032478005
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Statistical Evidence: A Likelihood Paradigm
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Etat : New. Richard RoyallInterpreting 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 l. N° de réf. du vendeur 801266748
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Statistical Evidence : A Likelihood Paradigm
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9781032478005
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Statistical Evidence (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)
Edité par
Chapman and Hall/CRC, 2023
ISBN 10 : 1032478004
ISBN 13 : 9781032478005
Neuf
Couverture souple
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