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 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 Inference
Language: en
Pages: 439
Authors: Deborah G. Mayo
Categories: Business & Economics
Type: BOOK - Published: 2011 - Publisher: Cambridge University Press

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Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.
The Necessity of Errors
Language: en
Pages: 425
Authors: John Roberts
Categories: Philosophy
Type: BOOK - Published: 2020-05-05 - Publisher: Verso Books

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Truth and error are interdependent; claims to truth can be made only in the light of previous error. In The Necessity of Errors, John Roberts explores how, up t
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