The Significance Test Controversy Revisited: The Fiducial Bayesian Alternative

Author:   Bruno Lecoutre ,  Jacques Poitevineau
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2nd ed. 2022
ISBN:  

9783662657041


Pages:   206
Publication Date:   14 October 2022
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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The Significance Test Controversy Revisited: The Fiducial Bayesian Alternative


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Author:   Bruno Lecoutre ,  Jacques Poitevineau
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2nd ed. 2022
Weight:   0.343kg
ISBN:  

9783662657041


ISBN 10:   366265704
Pages:   206
Publication Date:   14 October 2022
Audience:   College/higher education ,  Postgraduate, Research & Scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Bruno Lecoutre  was director of research at the Centre National de la Recherche Scientifique (CNRS) in Paris and then in Rouen since 1996. He was a consultant in the pharmaceutical industry for 20 years. He retired in 2015. He obtained a PhD in experimental psychology from the University of Paris VIII in 1976 and a PhD in mathematics from University René Descartes in Paris in 1980. His main research interests have been in the foundations of statistics and in the development and applications of Bayesian procedures for the analysis of experimental data, including their methodological and computational aspects. Jacques Poitevineau taught experimental psychology and statistics at the university for 13 years and worked for 40 years at the Centre National de la Recherche Scientifique (CNRS) in Paris. He retired in 2013. He started programming in 1972, mainly in Fortran. He obtained his PhD in psychology from the University of Rouen in 1998. His research interests include computational statistics and statistical applications in experimental sciences.

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