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Titlebook: Bayesian Evaluation of Informative Hypotheses; Herbert Hoijtink,Irene Klugkist,Paul A. Boelen Book 2008 Springer-Verlag New York 2008 Eval

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期刊全称Bayesian Evaluation of Informative Hypotheses
影响因子2023Herbert Hoijtink,Irene Klugkist,Paul A. Boelen
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发行地址This book provides a step-by-step explanation aimed mainly at social scientists, of how to formulate and evaluate a set of informative hypotheses (including references to software)..It is a comprehens
学科分类Statistics for Social and Behavioral Sciences
图书封面Titlebook: Bayesian Evaluation of Informative Hypotheses;  Herbert Hoijtink,Irene Klugkist,Paul A. Boelen Book 2008 Springer-Verlag New York 2008 Eval
影响因子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.
Pindex Book 2008
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An Evaluation of Bayesian Inequality Constrained Analysis of Varianceconstrained analysis of variance. Section 5.2 contains an evaluation from the perspective of psychologists on the use of inequality constrained analysis of variance. The questions raised will be discussed in Sections 5.3 and 5.4. Among other things, the interpretation of posterior model probabilitie
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The Bayes Factor Versus Other Model Selection Criteria for the Selection of Constrained Modelsayesian model assessment are becoming increasingly popular. There is a rich literature on Bayesian methods for model assessment and model comparison, including [1, 3, 6, 9, 10, 13, 14, 16, 17, 18, 24, 26, 28, 30, 32, 33, 34, 36]. The scope of Bayesian model assessment can be investigated via model d
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Inequality Constrained Contingency Table Analysismnibus hypotheses can be replaced by more specific inequality constrained hypotheses [2]. In the extensive review in [3], literature is discussed on order restricted statistical models for contingency tables. What becomes clear in this review is that many order restricted models can be estimated and
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Inequality Constrained Multilevel Modelsstered into, or nested within, higher-level units. The “level” signifies the position of a unit or observation within the hierarchy. This implies that the data are collected in groups or clusters. Examples of clusters are families, schools, and firms. In each of these examples a cluster is a collect
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A Psychologist’s View on Bayesian Evaluation of Informative Hypothesesexplicitly or implicitly formulating competing hypotheses and inferring different predictions about, for instance, the relative scores of different groups on an outcome measure in an experimental study. As a means to test their theories, psychologists are accustomed to the classical statistical trad
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Illustrative Psychological Data and Hypotheses for Bayesian Inequality Constrained Analysis of Variaers. The third dataset was obtained from research on coping with loss that, among other purposes, was used to study gender differences in coping. These three datasets will be used in subsequent chapters to illustrate Bayesian inequality constrained analysis of variance.
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