Error And The Growth Of Experimental Knowledge
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Error And The Growth Of Experimental Knowledge
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Author : Deborah G. Mayo
language : en
Publisher: University of Chicago Press
Release Date : 1996-07-15
Error And The Growth Of Experimental Knowledge written by Deborah G. Mayo and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-15 with Science categories.
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 of Experimental Knowledge launches a vigorous critique of the subjective Bayesian view of statistical inference, and proposes Mayo's own error-statistical approach as a more robust framework for the epistemology of experiment. Mayo genuinely addresses the needs of researchers who work with statistical analysis, and simultaneously engages the basic philosophical problems of objectivity and rationality. Mayo has long argued for an account of learning from error that goes far beyond detecting logical inconsistencies. In this book, she presents her complete program for how we learn about the world by being "shrewd inquisitors of error, white gloves off." Her tough, practical approach will be important to philosophers, historians, and sociologists of science, and will be welcomed by researchers in the physical, biological, and social sciences whose work depends upon statistical analysis.
Error And The Growth Of Experimental Knowledge
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Author : Deborah G. Mayo
language : en
Publisher: University of Chicago Press
Release Date : 1996-07-15
Error And The Growth Of Experimental Knowledge written by Deborah G. Mayo and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-07-15 with Mathematics categories.
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: Duhem, Kuhn, and Bayes 5: Models of Experimental Inquiry 6: Severe Tests and Methodological Underdetermination7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion8: Severe Tests and Novel Evidence 9: Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance10: Why You Cannot Be Just a Little Bit Bayesian 11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics12: Error Statistics and Peircean Error Correction 13: Toward an Error-Statistical Philosophy of Science ReferencesIndex Copyright © Libri GmbH. All rights reserved.
Error And The Growth Of Experimental Knowledge
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Author : Deborah G. Mayo
language : en
Publisher: University of Chicago Press
Release Date : 1996-08-15
Error And The Growth Of Experimental Knowledge written by Deborah G. Mayo and has been published by University of Chicago Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-08-15 with Mathematics categories.
This text provides a critique of the subjective Bayesian view of statistical inference, and proposes the author's own error-statistical approach as an alternative framework for the epistemology of experiment. It seeks to address the needs of researchers who work with statistical analysis.
Error And Inference
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Author : Deborah G. Mayo
language : en
Publisher: Cambridge University Press
Release Date : 2009-10-26
Error And Inference written by Deborah G. Mayo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-26 with Science categories.
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 that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from the philosophy of science, statistics and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modelling practice. Philosophers of science and scientific practitioners are challenged to reevaluate the assumptions of their own theories - philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better 'applied philosophers'. Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation and theory testing.
Statistical Inference As Severe Testing
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Author : Deborah G. Mayo
language : en
Publisher: Cambridge University Press
Release Date : 2018-09-20
Statistical Inference As Severe Testing written by Deborah G. Mayo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-20 with Mathematics categories.
Unlock today's statistical controversies and irreproducible results by viewing statistics as probing and controlling errors.
Error And Uncertainty In Scientific Practice
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Author : Marcel Boumans
language : en
Publisher: Routledge
Release Date : 2015-10-06
Error And Uncertainty In Scientific Practice written by Marcel Boumans and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with History categories.
Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.
Optimality
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Author : Javier Rojo
language : en
Publisher: IMS
Release Date : 2006
Optimality written by Javier Rojo and has been published by IMS this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Mathematics categories.
Going Amiss In Experimental Research
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Author : Giora Hon
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-04
Going Amiss In Experimental Research written by Giora Hon and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-04 with Science categories.
Like any goal-oriented procedure, experiment is subject to many kinds of failures. These failures have a variety of features, depending on the particulars of their sources. For the experimenter these pitfalls should be avoided and their effects minimized. For the historian-philosopher of science and the science educator, on the other hand, they are instructive starting points for reflecting on science in general and scientific method and practice in particular. Often more is learned from failure than from confirmation and successful application. The identification of error, its source, its context, and its treatment shed light on both practices and epistemic claims. This book shows that it is fruitful to bring to light forgotten and lost failures, subject them to analysis and learn from their moral. The study of failures, errors, pitfalls and mistakes helps us understand the way knowledge is pursued and indeed generated. The book presents both historical accounts and philosophical analyses of failures in experimental practice. It covers topics such as "error as an object of study", "learning from error", "concepts and dead ends", "instrumental artifacts", and "surprise and puzzlement". This book will be of interest to historians, philosophers, and sociologists of science as well as to practicing scientists and science educators.
Error And Inference
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Author : Deborah G. Mayo
language : en
Publisher: Cambridge University Press
Release Date : 2011
Error And Inference written by Deborah G. Mayo and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Business & Economics categories.
Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.
The Necessity Of Errors
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Author : John Roberts
language : en
Publisher: Verso Books
Release Date : 2020-05-05
The Necessity Of Errors written by John Roberts and has been published by Verso Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-05 with Philosophy categories.
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 to Hegel, emphasis was placed on error as something that dissolves truth and needs to be eradicated. Drawing on the fragmented corpus of writing on error, from Locke to Luxemburg, Adorno to Vaneigem, and covering five key areas from philosophy to political praxis, this wide-ranging account explores how we learn from error, under what conditions, and with what means. Errors, Roberts finds, are productive, but not in any uniform sense or under all circumstances-a theory of errors needs a dialectics of error.