Bayesian Evaluation of Informative Hypotheses

Herbert Hoijtink

ISBN 10: 1441918744 / ISBN 13: 9781441918741

Edité par Springer New York, 2010

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the rst paper on this topic in 2001 [Hoijtink, H. Con rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563-588]. The current state of a airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti c Research (NWO) whose VICI grant (453-05-002) awarded to the rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

N° de réf. du vendeur 9781441918741

Détails bibliographiques

• Titre: Bayesian Evaluation of Informative Hypotheses
• Éditeur: Springer New York
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 1441918744
• ISBN à 13 chiffres: 9781441918741
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 21 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 21 millimètres de profondeur
• Poids: 569 grammes

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Synopsis

This book provides an overview of the developments in the area of Bayesian evaluation of informative hypotheses that took place since the publication of the ?rst paper on this topic in 2001 [Hoijtink, H. Con?rmatory latent class analysis, model selection using Bayes factors and (pseudo) likelihood ratio statistics. Multivariate Behavioral Research, 36, 563–588]. The current state of a?airs was presented and discussed by the authors of this book during a workshop in Utrecht in June 2007. Here we would like to thank all authors for their participation, ideas, and contributions. We would also like to thank Sophie van der Zee for her editorial e?orts during the construction of this book. Another word of thanks is due to John Kimmel of Springer for his con?dence in the editors and authors. Finally, we would like to thank the Netherlands Organization for Scienti?c Research (NWO) whose VICI grant (453-05-002) awarded to the ?rst author enabled the organization of the workshop, the writing of this book, and continuation of the research with respect to Bayesian evaluation of informative hypotheses.

Présentation de l'éditeur

This book presents an alternative to traditional "null hypothesis" testing. It builds on the idea that researchers have more informative research questions than the "nothing is going on" null hypothesis, or the "something is going on" alternative hypothesis.