Error and uncertainty in scientific practice:
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
London
Routledge
2015
|
Schriftenreihe: | History and philosophy of technoscience
Number 1 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis Klappentext |
Beschreibung: | Hier auch später erschienene, unveränderte Nachdrucke |
Beschreibung: | xiii, 249 Seiten |
ISBN: | 9781138662278 9781848934160 |
Internformat
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Datensatz im Suchindex
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adam_text | CONTENTS
Acknowledgements vii
List of Contributors ix
List of Figures and Tables xiii
Introduction - Marcel Bowmans and Giora Hon 1
1 The Lack of a Satisfactory Conceptualization of the Notion of Error in
the Historiography of Science: Two Main Approaches and
Shortcomings - Bart Karstens 13
2 Experimental Knowledge in the Face of Theoretical Error
- Kent W. Staley 39
3 Learning from Error: How Experiment Gets a Life (of its Own)
- Deborah G. Mayo 57
4 Modelling Measurement: Error and Uncertainty - Luca Mari and
Alessandro Giordani 79
5 Handling Uncertainty in Environmental Models at the
Science-Policy-Society Interfaces - M. Bruce Beck 97
6 Variations on Reliability: Connecting Climate Predictions to
Climate Policy - Leonard A, Smith and Arthur C. Petersen 137
7 Order and Indeterminism: An Info-Gap Perspective - Yakov Ben-Haim 157
8 Learning from Data: The Role of Error in Statistical Modelling and
Inference - Arts Spanos 177
Notes 209
Index 243
AND JRhïLOSOPHY OF TECHNOSCIENCE
Error and Uncertainty in Scientific Practice
0 b /
Edited by Marcel Boumans, Giora Hon and Arthur C. Petersen
Assessment of error and uncertainty is a vital component of both natural and social science.
Empirical research involves dealing with all kinds of errors and uncertainties, yet there is
significant variance in how such results are dealt with. Contributors to this volume present case
studies of research practices across a wide spectrum of scientific fields, including experimental
physics, econometrics, environmental science, climate science, engineering, measurement
science and statistics. They compare methodologies and present the ingredients needed for an
overarching framework applicable to all.
Contributors
»
V. ·.
M. Bruce Beck, Yakov Ben՜Haim, Alessandro Giordani, Bart Karstens, Luca Mari,
Deborah G. Mayo, Leonard A. Smith, Aris Spanos and Kent W. Staley.
History and Philosophy of Technoscience
Series Editor: Alfred Nordmann
There is a popular view that science discovers and technology applies, a view that is increasingly
under threat. Technosdence refers to a growing number of fields such as nanotechnology, synthetic
biology and climate studies where it is not possible to separate the scientific from the technological.
This series addresses historical and philosophical issues surrounding technoscientífic research and
explores the rich and complex interconnection between science and technology, a connection that
has been moulded by centuries of engagement with real-world problems.
L· rf:·:
èli
1
an Informa business
I SBN 978-1- ■138-66227-8 l
9 781 138 662278
Routledge
Taylor Francis Group
www.routledge.com
|
any_adam_object | 1 |
author2 | Boumans, Marcel 1960- Hôn, Giyyôrâ ca. 20. Jh Petersen, Arthur C. 1970- |
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author_facet | Boumans, Marcel 1960- Hôn, Giyyôrâ ca. 20. Jh Petersen, Arthur C. 1970- |
building | Verbundindex |
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discipline | Allgemeine Naturwissenschaft Physik |
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title | Error and uncertainty in scientific practice |
title_auth | Error and uncertainty in scientific practice |
title_exact_search | Error and uncertainty in scientific practice |
title_full | Error and uncertainty in scientific practice edited by Marcel Boumans, Giora Hon and Arthur C. Petersen |
title_fullStr | Error and uncertainty in scientific practice edited by Marcel Boumans, Giora Hon and Arthur C. Petersen |
title_full_unstemmed | Error and uncertainty in scientific practice edited by Marcel Boumans, Giora Hon and Arthur C. Petersen |
title_short | Error and uncertainty in scientific practice |
title_sort | error and uncertainty in scientific practice |
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topic_facet | Wissenschaftliche Beobachtung Fehlerrechnung Aufsatzsammlung |
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