Error and uncertainty in scientific practice
Author(s)
Bibliographic Information
Error and uncertainty in scientific practice
（History and philosophy of technoscience, v. 1）
Routledge, 2016, c2014
- : pbk
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Note
Includes bibliographical references and index
Description and Table of Contents
Description
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.
Table of Contents
- Introduction, Marcel Boumans, Giora Hon
- Chapter 1 The Lack of a Satisfactory Conceptualization of the Notion of Error in the Historiography of Science: Two Main Approaches and Their Shortcomings, Bart Karstens
- Chapter 2 Experimental Knowledge in the Face of Theoretical Error, Kent W. Staley
- Chapter 3 Learning from Error: How Experiment Gets a Life (Of Its Own), Deborah G. Mayo
- Chapter 4 Modelling Measurement: Error and Uncertainty, Luca Mari, Alessandro Giordani
- Chapter 5 Handling Uncertainty in Environmental Models at the Science-Policy-Society Interfaces, M. Bruce Beck
- Chapter 6 Variations on Reliability: Connecting Climate Predictions to Climate Policy, Leonard A. Smith, Arthur C. Petersen
- Chapter 7 Order and Indeterminism: An Info-Gap Perspective, Yakov Ben-Haim
- Chapter 8 Learning from Data: The Role of Error in Statistical Modelling and Inference, Aris Spanos
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