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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 276 pp. Englisch. N° de réf. du vendeur 9783906758244
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Lang, Peter GmbH, Gontardstraße 11, 10178 Berlin 294 pp. Englisch. N° de réf. du vendeur 9783906758244
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Taschenbuch. Etat : Neu. New Ways in Statistical Methodology | From Significance Tests to Bayesian Inference | Henry Rouanet (u. a.) | Taschenbuch | Englisch | 2000 | Peter Lang | EAN 9783906758244 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. N° de réf. du vendeur 133565704
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