Overview
- Provides a Bayesian framework for a new approach to experimental data analysis and interpretation
- Prepares students and researchers for experimental results report
- Gives a genuine understanding of statistical inference procedures
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Front Matter
-
The Significance Test Controversy Revisited
-
Front Matter
-
-
Retire Statistical Significance? The Fiducial Bayesian Alternative
-
Front Matter
-
-
Back Matter
Keywords
About this book
This book explains the misuses and abuses of Null Hypothesis Significance Tests, which are reconsidered in light of Jeffreys’ Bayesian concept of the role of statistical inference, in experimental investigations. Minimizing the technical aspects, the studies focuses mainly on methodological contributions.
The first part of the book gives an overview of the major approaches to statistical testing and an enlightening discussion of the philosophies of Fisher, Neyman-Pearson and Jeffrey. The conceptual and methodological implications of current practices of reporting effect sizes and confidence intervals are also examined and challenged. This sheds new light on the "significance testing controversy" and provides an appropriate Bayesian framework for a comprehensive approach to the analysis and interpretation of experimental data.
The second part of the book provides concrete Bayesian routine procedures that bypass common misuses of significance testing and arereadily applicable in a wide range of real applications. This approach addresses the need for objective reporting of experimental data, that is acceptable to the scientific community. This is emphasized by the name fiducial (from the Latin fiducia = confidence). The fiducial Bayesian procedures provide the reader with a real opportunity to think sensibly about problems of statistical inference.
This book prepares students and researchers to critically read statistical analyses reported in the literature and equips them with an appropriate alternative to the use of significance testing.
Authors and Affiliations
About the authors
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.
Bibliographic Information
Book Title: The Significance Test Controversy Revisited
Book Subtitle: The Fiducial Bayesian Alternative
Authors: Bruno Lecoutre, Jacques Poitevineau
DOI: https://doi.org/10.1007/978-3-662-65705-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2022
Softcover ISBN: 978-3-662-65704-1Published: 14 October 2022
eBook ISBN: 978-3-662-65705-8Published: 13 October 2022
Edition Number: 2
Number of Pages: XIII, 206
Number of Illustrations: 18 b/w illustrations, 6 illustrations in colour
Topics: Statistical Theory and Methods, Bayesian Inference, Biostatistics