Sinossi
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
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Informazioni sull?autore
Deborah G. Mayo is Professor Emerita in the Department of Philosophy at Virginia Tech. Author of Error and the Growth of Experimental Knowledge (1996), she won the 1998 Lakatos Prize for an outstanding contribution to philosophy of science. She directed the NEH Summer Seminar (1999) on Philosophy of Experimental Inference. She co-founded, with G. W. Chatfield, the Fund for Experimental Reasoning, Reliability and Objectivity and Rationality (E.R.R.O.R) in 2006 which has co-sponsored 10 conferences, workshops and distinguished lecture series. She's a visiting professor at the London School of Economics and Political Science, Centre for the Philosophy of Natural and Social Science (CPNSS) (2007–present).
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Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
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Cambridge University Press, 2018
ISBN 10: 1107664640
ISBN 13: 9781107664647
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Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
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Cambridge University Press, 2018
ISBN 10: 1107664640
ISBN 13: 9781107664647
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STATISTICAL INFERENCE AS SEVERE TESTING : HOW TO GET BEYOND THE STATISTICS WARS
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ISBN 13: 9781107664647
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Softcover. Octavo, xvi, 486 pages. In Good condition. Spine is white with brown print. Cover is white with brown and black print. Text block has marginal note on page 447. NOTE: Shelved in Netdesk Column R. 1395510. FP New Rockville Stock. Codice articolo 1395510
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Statistical Inference As Severe Testing : How to Get Beyond the Statistics Wars
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Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars (Paperback or Softback)
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Statistical Inference As Severe Testing : How to Get Beyond the Statistics Wars
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Statistical Inference as Severe Testing (Paperback)
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Cambridge University Press, Cambridge, 2018
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ISBN 13: 9781107664647
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Paperback. Condizione: new. Paperback. Mounting failures of replication in social and biological sciences give a new urgency to critically appraising proposed reforms. This book pulls back the cover on disagreements between experts charged with restoring integrity to science. It denies two pervasive views of the role of probability in inference: to assign degrees of belief, and to control error rates in a long run. If statistical consumers are unaware of assumptions behind rival evidence reforms, they can't scrutinize the consequences that affect them (in personalized medicine, psychology, etc.). The book sets sail with a simple tool: if little has been done to rule out flaws in inferring a claim, then it has not passed a severe test. Many methods advocated by data experts do not stand up to severe scrutiny and are in tension with successful strategies for blocking or accounting for cherry picking and selective reporting. Through a series of excursions and exhibits, the philosophy and history of inductive inference come alive. Philosophical tools are put to work to solve problems about science and pseudoscience, induction and falsification. This eye-opener illuminates controversies surrounding widely used statistical methods across the physical, social, and biological sciences. New solutions to philosophical problems of induction, falsification, science vs. pseudoscience are put to work to let statisticians and reproducibility researchers get beyond hardened conceptual disagreements. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781107664647
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Statistical Inference As Severe Testing: How to Get Beyond the Statistics Wars
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Paperback. Condizione: Brand New. 474 pages. 9.00x6.00x1.00 inches. In Stock. This item is printed on demand. Codice articolo __1107664640
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Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
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