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Author: Herbert Hoijtink
Publisher: CRC Press
ISBN: 1439880522
Category : Mathematics
Languages : en
Pages : 240
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Book Description
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they fo
Author: Herbert Hoijtink
Publisher: CRC Press
ISBN: 1439880522
Category : Mathematics
Languages : en
Pages : 240
Get Book Here
Book Description
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they fo
Author: Herbert Hoijtink
Publisher: Springer Science & Business Media
ISBN: 0387096124
Category : Social Science
Languages : en
Pages : 361
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Book Description
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.
Author: Herbert Hoijtink
Publisher: Springer
ISBN: 9780387096117
Category : Social Science
Languages : en
Pages : 361
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Book Description
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.
Author: Herbert Hoijtink
Publisher: Chapman & Hall/CRC
ISBN: 9780367382223
Category :
Languages : en
Pages : 0
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Book Description
This detailed book discusses the evaluation of behavioral and social science hypotheses that are more informative than traditional null and alternative hypotheses. Requiring a minimal prerequisite knowledge of multivariate statistics, such as regression and ANOVA, it provides relevant information for those doing active research in the social and behavioral sciences. Informative Hypotheses: Theory and Practice for Behavioral and Social Scientists considers Bayesian and classical approaches and pays considerable attention to sample size determination. Software is available for all functions discussed in the book.
Author: Jonah N. Schupbach
Publisher: Taylor & Francis
ISBN: 1000884074
Category : Science
Languages : en
Pages : 286
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Book Description
Philosophers and psychologists are increasingly investigating the conditions under which multiple explanations are better in conjunction than they are individually. This book brings together leading scholars to provide an interdisciplinary and unified discussion of such “conjunctive explanations.” The book starts with an introductory chapter expounding the notion of conjunctive explanation and motivating a multifaceted approach to its study. The remaining chapters are divided into three parts. Part I includes chapters on “The Nature of Conjunctive Explanations.” Each chapter illustrates distinct ways in which explanatory multiplicity is motivated by a careful study of the nature and concept of explanation. The second part (“Reasoning About Conjunctive Explanations”) includes chapters on the epistemology and logic of conjunctive explanations. Here the contributors propose and evaluate various norms for reasoning correctly about and to conjunctive explanations. Part III concerns “The Psychology of Conjunctive Explanations,” with contributions discussing conditions under which humans entertain and hold multiple explanations of single explananda simultaneously and the cognitive limitations and capacities for doing so. Conjunctive Explanations will be of interest to researchers and advanced students working on explanation in philosophy of science, epistemology, philosophical logic, and cognitive psychology.
Author: Witold Pedrycz
Publisher: Springer
ISBN: 331908254X
Category : Technology & Engineering
Languages : en
Pages : 444
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Book Description
The recent pursuits emerging in the realm of big data processing, interpretation, collection and organization have emerged in numerous sectors including business, industry and government organizations. Data sets such as customer transactions for a mega-retailer, weather monitoring, intelligence gathering, quickly outpace the capacities of traditional techniques and tools of data analysis. The 3V (volume, variability and velocity) challenges led to the emergence of new techniques and tools in data visualization, acquisition, and serialization. Soft Computing being regarded as a plethora of technologies of fuzzy sets (or Granular Computing), neurocomputing and evolutionary optimization brings forward a number of unique features that might be instrumental to the development of concepts and algorithms to deal with big data. This carefully edited volume provides the reader with an updated, in-depth material on the emerging principles, conceptual underpinnings, algorithms and practice of Computational Intelligence in the realization of concepts and implementation of big data architectures, analysis, and interpretation as well as data analytics. The book is aimed at a broad audience of researchers and practitioners including those active in various disciplines in which big data, their analysis and optimization are of genuine relevance. One focal point is the systematic exposure of the concepts, design methodology, and detailed algorithms. In general, the volume adheres to the top-down strategy starting with the concepts and motivation and then proceeding with the detailed design that materializes in specific algorithms and representative applications. The material is self-contained and provides the reader with all necessary prerequisites and augments some parts with a step-by-step explanation of more advanced concepts supported by a significant amount of illustrative numeric material and some application scenarios to motivate the reader and make some abstract concepts more tangible.
Author: Herbert Hoijtink
Publisher: CRC Press
ISBN: 1439880514
Category : Mathematics
Languages : en
Pages : 243
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Book Description
When scientists formulate their theories, expectations, and hypotheses, they often use statements like: ``I expect mean A to be bigger than means B and C"; ``I expect that the relation between Y and both X1 and X2 is positive"; and ``I expect the relation between Y and X1 to be stronger than the relation between Y and X2". Stated otherwise, they formulate their expectations in terms of inequality constraints among the parameters in which they are interested, that is, they formulate Informative Hypotheses. There is currently a sound theoretical foundation for the evaluation of informative hypotheses using Bayes factors, p-values and the generalized order restricted information criterion. Furthermore, software that is often free is available to enable researchers to evaluate the informative hypotheses using their own data. The road is open to challenge the dominance of the null hypothesis for contemporary research in behavioral, social, and other sciences.
Author: Antonio Kolossa
Publisher: Springer
ISBN: 3319322850
Category : Mathematics
Languages : en
Pages : 144
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Book Description
This authored monograph supplies empirical evidence for the Bayesian brain hypothesis by modeling event-related potentials (ERP) of the human electroencephalogram (EEG) during successive trials in cognitive tasks. The employed observer models are useful to compute probability distributions over observable events and hidden states, depending on which are present in the respective tasks. Bayesian model selection is then used to choose the model which best explains the ERP amplitude fluctuations. Thus, this book constitutes a decisive step towards a better understanding of the neural coding and computing of probabilities following Bayesian rules. The target audience primarily comprises research experts in the field of computational neurosciences, but the book may also be beneficial for graduate students who want to specialize in this field.
Author: Erich Jantsch
Publisher: Routledge
ISBN: 1000229386
Category : Social Science
Languages : en
Pages : 241
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Book Description
"The evolutionary vision" is a term coined by economist Kenneth E. Boulding to describe a unified view of evolution that encompasses all levels of reality, from the cosmic or physical through the biological, ecological, and sociobiological to the sociocultural. It focuses less on systems or any particular entity than on the processes through which they evolve. In this volume various approaches to the self-organization of matter and information are outlined by authors who are among the chief developers of this new paradigm. They focus on the general laws governing evolutionary dynamics across all levels of evolution, including the evolution of humans and human systems.
Author: Market Technician's Association
Publisher: John Wiley & Sons
ISBN: 1119251419
Category : Business & Economics
Languages : en
Pages : 1016
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Book Description
Everything you need to pass Level II of the CMT Program CMT Level II 2016: Theory and Analysis fully prepares you to demonstrate competency applying the principles covered in Level I, as well as the ability to apply more complex analytical techniques. Covered topics address theory and history, market indicators, construction, confirmation, cycles, selection and decision, system testing, statistical analysis, and ethics. The Level II exam emphasizes trend, chart, and pattern analysis, as well as risk management concepts. This cornerstone guidebook of the Chartered Market Technician® Program will provide every advantage to passing Level II.
