New Ways in Statistical Methodology - Rouanet, Henry;Rouanet, Henry;Bernard, Jean-Marc;Bert, Marie-Claude
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This book, with a foreword by the outstanding philosopher of science and mathematical psychologist Patrick Suppes of Stanford University, is the outgrowth of the work developed within the Groupe Mathématiques et Psychologie , a research unit of the University René Descartes and CNRS (the French National Center for Scientific Research). New ways in statistical methodology are presented, which complement the familiar significance tests by new methods better suited to the researchers' objectives, in the first place, Bayesian methods. In mathematical statistics, Bayesian methods have made a…mehr

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Produktbeschreibung
This book, with a foreword by the outstanding philosopher of science and mathematical psychologist Patrick Suppes of Stanford University, is the outgrowth of the work developed within the Groupe Mathématiques et Psychologie , a research unit of the University René Descartes and CNRS (the French National Center for Scientific Research). New ways in statistical methodology are presented, which complement the familiar significance tests by new methods better suited to the researchers' objectives, in the first place, Bayesian methods. In mathematical statistics, Bayesian methods have made a breakthrough in the last few years, but those developments are still ignored by the current statistical methodology and practice. The present book is really the first one to fill this gap.
This book is written for a large audience of researchers, statisticians and users of statistics in behavioral and social sciences, and contains both an analysis of the attitude of researchers toward statistical inference, and concrete proposals for improving statistical practice. The statistical consulting experience of the authors is centered around psychology and covers a broad range of subjects from social sciences to biostatistics. All methods developed by the authors are implemented in software.
Autorenporträt
The Authors: Henry Rouanet is Directeur de Recherche CNRS, at UFR de Mathématiques et Informatique, Université René Descartes, Paris, France. Jean-Marc Bernard is Chargé de Recherche CNRS, at the Laboratoire Cognition et Activités Finalisées, Université Paris 8, France. Marie-Claude Bert (now retired) was Maître de Conférences at UFR de Mathématiques et Informatique, Université René Descartes. Bruno Lecoutre is Directeur de Recherche CNRS, at UPRESA 6085, Analyse et Modèles Stochastiques, CNRS & Université de Rouen, France. Marie-Paule Lecoutre is Maître de Conférences, at UFR de Psychologie, Sociologie et Sciences de l'Education, Université de Rouen, France. Brigitte Le Roux is Maître de Conférences, at UFR de Mathématiques et Informatique, Université René Descartes, France.
Rezensionen
"...on peut espérer que ce remarquable ouvrage unique en son genre convaincra de nombreux chercheurs et enseignants d'adopter la démarche qu'il prône." (A. Duflos, L'Année psychologique)
"...the book should have a large audience, and hopefully would convince researchers of the interest of bayesian methods in practice, since it exposes clearly the principles of the bayesian approach, without getting into too technical and theoretical details. It also provides a reflection on the way to teach or to introduce applied statistics." (Judith Rousseau, Mathématiques et sciences humaines)
"Cet ouvrage très intéressant s'adresse aux utilisateurs de la statistique, et en particulier aux psychologues, aux sociologues et de façon plus générale aux praticiens des tests statistiques." (Revue de statistique appliquée)