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Error and the Growth of Experimental Knowledge
Language: en
Pages: 520
Authors: Deborah G. Mayo
Categories: Mathematics
Type: BOOK - Published: 1996-07-15 - Publisher: University of Chicago Press

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Preface1: Learning from Error 2: Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper 3: The New Experimentalism and the Bayesian Way 4:
Error and the Growth of Experimental Knowledge
Language: en
Pages: 512
Authors: Deborah G. Mayo
Categories: Science
Type: BOOK - Published: 1996-07-15 - Publisher: University of Chicago Press

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We may learn from our mistakes, but Deborah Mayo argues that, where experimental knowledge is concerned, we haven't begun to learn enough. Error and the Growth
Error and Inference
Language: en
Pages: 491
Authors: Deborah G. Mayo
Categories: Science
Type: BOOK - Published: 2009-10-26 - Publisher: Cambridge University Press

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Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives tha
Statistical Inference as Severe Testing
Language: en
Pages: 503
Authors: Deborah G. Mayo
Categories: Mathematics
Type: BOOK - Published: 2018-09-20 - Publisher: Cambridge University Press

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Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover
Reproducibility and Replicability in Science
Language: en
Pages: 257
Authors: National Academies of Sciences, Engineering, and Medicine
Categories: Science
Type: BOOK - Published: 2019-10-20 - Publisher: National Academies Press

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One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a