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Error and inference : recent exchanges on experimental reasoning, reliability, and the objectivity and rationality of science / Deborah G. Mayo ; Aris Spanos

Main Author: Mayo, Deborah G.Coauthor: Spanos, ArisLanguage: Inglês.Country: Estados Unidos, New York.Publication: New York : Aris Spanos, 2010Description: 419 p.ISBN: 978-0-521-28025-2.Abstract: Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from philosophy of science, statistics, and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modeling practice. Philosophers of science and scientific practitioners are challenged to reevaluate the assumptions of their own theories – philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better “applied philosophers.” Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation, and theory testing.. (Fonte : Amazon).Subject - Topical Name: Research Methods Experimental Design | Métodos de Investigação Classification: 2260 - Métodos de Investigação e Designs Experimentais | 2240 - Estatistica e Matemática Online Resources: Localização do Documento Item type:
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Livro Livro Biblioteca ISPA M MAYO2 Available 21824

Although both philosophers and scientists are interested in how to obtain reliable knowledge in the face of error, there is a gap between their perspectives that has been an obstacle to progress. By means of a series of exchanges between the editors and leaders from philosophy of science, statistics, and economics, this volume offers a cumulative introduction connecting problems of traditional philosophy of science to problems of inference in statistical and empirical modeling practice. Philosophers of science and scientific practitioners are challenged to reevaluate the assumptions of their own theories – philosophical or methodological. Practitioners may better appreciate the foundational issues around which their questions revolve and thereby become better “applied philosophers.” Conversely, new avenues emerge for finally solving recalcitrant philosophical problems of induction, explanation, and theory testing..

(Fonte : Amazon)

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