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Original Essays | November 5, 2009

John Buntin: IMG Notes from the (Bibliographic) Underground

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  2. Biology Takes Form: Animal Morphology and the German Universities, 1800-1900
  3. Descartes' Metaphysical Physics
  4. Diffident Naturalist: Robert Boyle & the Philosophy of Experiment
  5. Discipline and Experience: The Mathematical Way in the Scientific Revolution
  6. Discovery & Explanation in Biology & Medicine
  7. Durkheim's Philosophy of Science and the Sociology of Knowledge: Creating an Intellectual Niche
  8. Economics--Mathematical Politics or Science of Diminishing Returns?
  9. Galileo, Courtier: The Practice of Science in the Culture of Absolutism
  10. In the Wake of Chaos: Unpredictable Order in Dynamical Systems
  11. Instrumental Biology, or the Disunity of Science
  12. Life's Splendid Drama: Evolutionary Biology and the Reconstruction of Life's Ancestry, 1860-1940
  13. Men Among the Mammoths
  14. Quantum Dialogue: The Making of a Revolution
  15. Quantum Mechanics: Historical Contingency and the Copenhagen Hegemony
  16. Reading the Shape of Nature: Comparative Zoology at the Agassiz Museum
  17. Reconciling Science and Religion: The Debate in Early-Twentieth-Century Britain
  18. Science Without Laws
  19. Sex and Death: An Introduction to Philosophy of Biology
  20. Squaring the Circle: The War Between Hobbes and Wallis
  21. Styles of Scientific Thought: The German Genetics Community, 1900-1933
  22. The Highlands Controversy: Constructing Geological Knowledge Through Fieldwork in Nineteenth-Century Britain
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  24. The State of Nature: Ecology, Community, and American Social Thought, 1900-1950
  25. What Emotions Really Are: The Problem of Psychological Categories

Error and the Growth of Experimental Knowledge (Science & Its Conceptual Foundations)

by Deborah G. Mayo

Synopses & Reviews

Publisher Comments:

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.

Book News Annotation:

An argument for an error-statistical philosophy of science beginning with a deconstruction of the Bayesian way, Duhem, Kuhn, and countering criticisms of the Neyman-Pearson predesignationist stance. Mayo (philosophy, Virginia Polytechnic Institute) jumps right into the probability and statistics debate, changing the focus so that statistical accounts are measured according to modeling scientific inference, solving problems about evidence and inference, and performing a critique of methodological rules. She demonstrates that error-statistical account can offer a tool kit that meets these needs, and also supply a framework for making progress with the goals of new experimentalist work. Paper edition (unseen), $29.95.
Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Table of Contents

Preface

1: 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 Underdetermination

7: The Experimental Basis from Which to Test Hypotheses: Brownian Motion

8: Severe Tests and Novel Evidence

9: Hunting and Snooping: Understanding the Neyman-Pearson

Predesignationist Stance

10: Why You Cannot Be Just a Little Bit Bayesian

11: Why Pearson Rejected the Neyman-Pearson (Behavioristic) Philosophy

and a Note on Objectivity in Statistics

12: Error Statistics and Peircean Error Correction

13: Toward an Error-Statistical Philosophy of Science

References

Index

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Product Details

ISBN:
9780226511979
Author:
Mayo, Deborah G.
Author:
Mayo, Debroah G.
Publisher:
University of Chicago Press
Subject:
General
Subject:
Philosophy
Subject:
General science
Subject:
Science
Subject:
Statistics
Subject:
Research
Subject:
Probability & Statistics - General
Subject:
Bayesian statistical decision theory
Subject:
Science -- Philosophy.
Edition Description:
1
Series:
Science & Its Conceptual Foundations
Publication Date:
July 1996
Binding:
Hardcover
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Y
Pages:
509
Dimensions:
9.00 x 6.00 in
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