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Synopsis
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
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About the Author
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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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
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Statistical Inference As Severe Testing : How to Get Beyond the Statistics Wars
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