Error and the growth of experimental knowledge /:
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.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Chicago :
University of Chicago Press,
1996.
|
| Schriftenreihe: | Science and its conceptual foundations.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. "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"--Publisher description |
| Beschreibung: | 1 online resource (xvi, 493 pages) : illustrations |
| Bibliographie: | Includes bibliographical references (pages 465-480) and index. |
| ISBN: | 9780226511993 0226511995 |
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| 505 | 0 | |a Learning from Error -- Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- The New Experimentalism and the Bayesian Way -- Duhem, Kuhn, and Bayes -- Models of Experimental Inquiry -- Severe Tests and Methodological Underdetermination -- The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- Severe Tests and Novel Evidence -- Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- Why You Cannot Be Just a Little Bit Bayesian -- Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- Error Statistics and Peircean Error Correction -- Toward an Error-Statistical Philosophy of Science. | |
| 520 | |a 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. | ||
| 520 | |a "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"--Publisher description | ||
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| contents | Learning from Error -- Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- The New Experimentalism and the Bayesian Way -- Duhem, Kuhn, and Bayes -- Models of Experimental Inquiry -- Severe Tests and Methodological Underdetermination -- The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- Severe Tests and Novel Evidence -- Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- Why You Cannot Be Just a Little Bit Bayesian -- Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- Error Statistics and Peircean Error Correction -- Toward an Error-Statistical Philosophy of Science. |
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| id | ZDB-4-EBA-ocn703171871 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:17:42Z |
| institution | BVB |
| isbn | 9780226511993 0226511995 |
| language | English |
| oclc_num | 703171871 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xvi, 493 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 1996 |
| publishDateSearch | 1996 |
| publishDateSort | 1996 |
| publisher | University of Chicago Press, |
| record_format | marc |
| series | Science and its conceptual foundations. |
| series2 | Science and its conceptual foundations |
| spelling | Mayo, Deborah G. http://id.loc.gov/authorities/names/n90669966 Error and the growth of experimental knowledge / Deborah G. Mayo. Chicago : University of Chicago Press, 1996. 1 online resource (xvi, 493 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Science and its conceptual foundations Includes bibliographical references (pages 465-480) and index. Print version record. Learning from Error -- Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- The New Experimentalism and the Bayesian Way -- Duhem, Kuhn, and Bayes -- Models of Experimental Inquiry -- Severe Tests and Methodological Underdetermination -- The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- Severe Tests and Novel Evidence -- Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- Why You Cannot Be Just a Little Bit Bayesian -- Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- Error Statistics and Peircean Error Correction -- Toward an Error-Statistical Philosophy of Science. 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. "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"--Publisher description Error analysis (Mathematics) http://id.loc.gov/authorities/subjects/sh85044724 Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Science Philosophy. http://id.loc.gov/authorities/subjects/sh85118582 Théorie des erreurs. Théorie de la décision bayésienne. Sciences Philosophie. REFERENCE Research. bisacsh Bayesian statistical decision theory fast Error analysis (Mathematics) fast Science Philosophy fast Bayes-Entscheidungstheorie gnd http://d-nb.info/gnd/4144220-9 Fehlerrechnung gnd http://d-nb.info/gnd/4153837-7 Wissenschaftsphilosophie gnd http://d-nb.info/gnd/4202787-1 Bayes-Verfahren gnd http://d-nb.info/gnd/4204326-8 Fehleranalyse gnd http://d-nb.info/gnd/4016608-9 Mathematik gnd http://d-nb.info/gnd/4037944-9 Foutenleer. gtt Methode van Bayes. gtt Wetenschapsdynamica. gtt Teoria da decisao. larpcal Inferencia estatistica. larpcal Erreurs scientifiques. ram Épistémologie. ram has work: Error and the growth of experimental knowledge (Text) https://id.oclc.org/worldcat/entity/E39PCGkXBrHTJkftXQrQMbv6Td https://id.oclc.org/worldcat/ontology/hasWork Print version: Mayo, Deborah G. Error and the growth of experimental knowledge. Chicago : University of Chicago Press, 1996 0226511979 (DLC) 95026742 (OCoLC)33972237 Science and its conceptual foundations. http://id.loc.gov/authorities/names/n84738114 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=353111 Volltext |
| spellingShingle | Mayo, Deborah G. Error and the growth of experimental knowledge / Science and its conceptual foundations. Learning from Error -- Ducks, Rabbits, and Normal Science: Recasting the Kuhn's-Eye View of Popper -- The New Experimentalism and the Bayesian Way -- Duhem, Kuhn, and Bayes -- Models of Experimental Inquiry -- Severe Tests and Methodological Underdetermination -- The Experimental Basis from Which to Test Hypotheses: Brownian Motion -- Severe Tests and Novel Evidence -- Hunting and Snooping: Understanding the Neyman-Pearson Predesignationist Stance -- Why You Cannot Be Just a Little Bit Bayesian -- Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy and a Note on Objectivity in Statistics -- Error Statistics and Peircean Error Correction -- Toward an Error-Statistical Philosophy of Science. Error analysis (Mathematics) http://id.loc.gov/authorities/subjects/sh85044724 Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Science Philosophy. http://id.loc.gov/authorities/subjects/sh85118582 Théorie des erreurs. Théorie de la décision bayésienne. Sciences Philosophie. REFERENCE Research. bisacsh Bayesian statistical decision theory fast Error analysis (Mathematics) fast Science Philosophy fast Bayes-Entscheidungstheorie gnd http://d-nb.info/gnd/4144220-9 Fehlerrechnung gnd http://d-nb.info/gnd/4153837-7 Wissenschaftsphilosophie gnd http://d-nb.info/gnd/4202787-1 Bayes-Verfahren gnd http://d-nb.info/gnd/4204326-8 Fehleranalyse gnd http://d-nb.info/gnd/4016608-9 Mathematik gnd http://d-nb.info/gnd/4037944-9 Foutenleer. gtt Methode van Bayes. gtt Wetenschapsdynamica. gtt Teoria da decisao. larpcal Inferencia estatistica. larpcal Erreurs scientifiques. ram Épistémologie. ram |
| subject_GND | http://id.loc.gov/authorities/subjects/sh85044724 http://id.loc.gov/authorities/subjects/sh85012506 http://id.loc.gov/authorities/subjects/sh85118582 http://d-nb.info/gnd/4144220-9 http://d-nb.info/gnd/4153837-7 http://d-nb.info/gnd/4202787-1 http://d-nb.info/gnd/4204326-8 http://d-nb.info/gnd/4016608-9 http://d-nb.info/gnd/4037944-9 |
| title | Error and the growth of experimental knowledge / |
| title_auth | Error and the growth of experimental knowledge / |
| title_exact_search | Error and the growth of experimental knowledge / |
| title_full | Error and the growth of experimental knowledge / Deborah G. Mayo. |
| title_fullStr | Error and the growth of experimental knowledge / Deborah G. Mayo. |
| title_full_unstemmed | Error and the growth of experimental knowledge / Deborah G. Mayo. |
| title_short | Error and the growth of experimental knowledge / |
| title_sort | error and the growth of experimental knowledge |
| topic | Error analysis (Mathematics) http://id.loc.gov/authorities/subjects/sh85044724 Bayesian statistical decision theory. http://id.loc.gov/authorities/subjects/sh85012506 Science Philosophy. http://id.loc.gov/authorities/subjects/sh85118582 Théorie des erreurs. Théorie de la décision bayésienne. Sciences Philosophie. REFERENCE Research. bisacsh Bayesian statistical decision theory fast Error analysis (Mathematics) fast Science Philosophy fast Bayes-Entscheidungstheorie gnd http://d-nb.info/gnd/4144220-9 Fehlerrechnung gnd http://d-nb.info/gnd/4153837-7 Wissenschaftsphilosophie gnd http://d-nb.info/gnd/4202787-1 Bayes-Verfahren gnd http://d-nb.info/gnd/4204326-8 Fehleranalyse gnd http://d-nb.info/gnd/4016608-9 Mathematik gnd http://d-nb.info/gnd/4037944-9 Foutenleer. gtt Methode van Bayes. gtt Wetenschapsdynamica. gtt Teoria da decisao. larpcal Inferencia estatistica. larpcal Erreurs scientifiques. ram Épistémologie. ram |
| topic_facet | Error analysis (Mathematics) Bayesian statistical decision theory. Science Philosophy. Théorie des erreurs. Théorie de la décision bayésienne. Sciences Philosophie. REFERENCE Research. Bayesian statistical decision theory Science Philosophy Bayes-Entscheidungstheorie Fehlerrechnung Wissenschaftsphilosophie Bayes-Verfahren Fehleranalyse Mathematik Foutenleer. Methode van Bayes. Wetenschapsdynamica. Teoria da decisao. Inferencia estatistica. Erreurs scientifiques. Épistémologie. |
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