The Significance Test Controversy Revisited
Produktnummer:
18bed8b1f3a21e4a45b5ee0f49ce4376ef
Autor: | Lecoutre, Bruno Poitevineau, Jacques |
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Themengebiete: | Experimental data analysis Fiducial Bayesian inference Likelihood function Neyman-Pearson’s hypothesis test Null Hypothesis P-value Significance Test The significance test controversy |
Veröffentlichungsdatum: | 14.10.2022 |
EAN: | 9783662657041 |
Auflage: | 2 |
Sprache: | Englisch |
Seitenzahl: | 206 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Springer Berlin |
Untertitel: | The Fiducial Bayesian Alternative |
Produktinformationen "The Significance Test Controversy Revisited"
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.

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