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Error and the Growth of Experimental Knowledge

1996-07-15 Science
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Release : 1996-07-15
Genre : Science
Kind : eBook
Book Rating : 979/5 ( reviews)

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Book Synopsis Error and the Growth of Experimental Knowledge by : Deborah G. Mayo

Download or read book Error and the Growth of Experimental Knowledge written by Deborah G. Mayo. This book was released on 1996-07-15. Available in PDF, EPUB and Kindle. Book excerpt: 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

1996-07-15 Mathematics
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Release : 1996-07-15
Genre : Mathematics
Kind : eBook
Book Rating : 979/5 ( reviews)

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Book Synopsis Error and the Growth of Experimental Knowledge by : Deborah G. Mayo

Download or read book Error and the Growth of Experimental Knowledge written by Deborah G. Mayo. This book was released on 1996-07-15. Available in PDF, EPUB and Kindle. Book excerpt: 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 Inference

2011 Business & Economics
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Release : 2011
Genre : Business & Economics
Kind : eBook
Book Rating : 252/5 ( reviews)

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Book Synopsis Error and Inference by : Deborah G. Mayo

Download or read book Error and Inference written by Deborah G. Mayo. This book was released on 2011. Available in PDF, EPUB and Kindle. Book excerpt: Explores the nature of error and inference, drawing on exchanges on experimental reasoning, reliability, and the objectivity of science.

Error and Uncertainty in Scientific Practice

2015-10-06 History
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Release : 2015-10-06
Genre : History
Kind : eBook
Book Rating : 478/5 ( reviews)

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Book Synopsis Error and Uncertainty in Scientific Practice by : Marcel Boumans

Download or read book Error and Uncertainty in Scientific Practice written by Marcel Boumans. This book was released on 2015-10-06. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Reproducibility and Replicability in Science

2019-10-20 Science
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Release : 2019-10-20
Genre : Science
Kind : eBook
Book Rating : 165/5 ( reviews)

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Book Synopsis Reproducibility and Replicability in Science by : National Academies of Sciences, Engineering, and Medicine

Download or read book Reproducibility and Replicability in Science written by National Academies of Sciences, Engineering, and Medicine. This book was released on 2019-10-20. Available in PDF, EPUB and Kindle. Book excerpt: 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 scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

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