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Praise for the Second Edition “This book should be an essential part of the personal library of every practicing statistician.”—Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional modern topics and...
Editeur :
Wiley
Parution :
2013-11-06
Collection :
Wiley Series in Probability and Statistics
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The development of hierarchical models and Markov chain Monte Carlo (MCMC) techniques forms one of the most profound advances in Bayesian analysis since the 1970s and provides the basis for advances in virtually all areas of applied and theoretical Bayesian statistics....
Editeur :
OUP Oxford
Parution :
2013-01-24
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The International Bestseller by 'The Galileo of number crunchers' (Independent)Every time we choose a route to work, decide whether to go on a second date, or set aside money for a rainy day, we are making a prediction about the future. Yet from the financial crisis...
Editeur :
Penguin
Parution :
2012-09-27
ePub
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Bayesian Statistics is the school of thought that combines prior beliefs with the likelihood of a hypothesis to arrive at posterior beliefs. The first edition of Peter Lee’s book appeared in 1989, but the subject has moved ever onwards, with increasing emphasis on Monte...
Editeur :
Wiley
Parution :
2012-06-12
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Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment ofBayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including...
Editeur :
Wiley
Parution :
2012-04-02
Collection :
Wiley Series in Probability and Statistics
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Comparing and contrasting the reality of subjectivity in the work of history's great scientists and the modern Bayesian approach to statistical analysis Scientists and researchers are taught to analyze their data from an objective point of view, allowing the data to...
Editeur :
Wiley
Parution :
2012-01-20
Collection :
Wiley Series in Probability and Statistics
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The Valencia International Meetings on Bayesian Statistics - established in 1979 and held every four years - have been the forum for a definitive overview of current concerns and activities in Bayesian statistics. These are the edited Proceedings of the Ninth meeting,...
Editeur :
OUP Oxford
Parution :
2011-10-06
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Bayesian Networks: An Introduction provides a self-contained introduction to the theory and applications ofBayesian networks, a topic of interest and importance for statisticians, computer scientists and those involved in modelling complex data sets. The material has...
Editeur :
Wiley
Parution :
2011-08-26
Collection :
Wiley Series in Probability and Statistics
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Bayesian analysis has developed rapidly in applications in the last two decades and research inBayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application ofBayesian analysis...
Editeur :
OUP Oxford
Parution :
2010-03-18
ePub
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Bayesian analysis has developed rapidly in applications in the last two decades and research inBayesian methods remains dynamic and fast-growing. Dramatic advances in modelling concepts and computational technologies now enable routine application ofBayesian analysis...
Editeur :
OUP Oxford
Parution :
2010-03-18
PDF
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Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities ofBayesian methodology. This book provides an accessible introduction toBayesian methods, tailored specifically for...
Editeur :
Wiley
Parution :
2009-10-27
Collection :
Wiley Series in Probability and Statistics
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This highly acclaimed text, now available in paperback, provides a thorough account of key concepts and theoretical results, with particular emphasis on viewing statistical inference as a special case of decision theory. Information-theoretic concepts play a central...
Editeur :
Wiley
Parution :
2009-09-25
Collection :
Wiley Series in Probability and Statistics
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The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data mining. Bayesian methods play a role central to the future of data and knowledge integration in the field of Bioinformatics. This book...
Editeur :
Wiley
Parution :
2009-07-20
Collection :
Statistics in Practice
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A hands-on introduction to the principles of Bayesian modeling using WinBUGS Bayesian Modeling Using WinBUGS provides an easily accessible introduction to the use of WinBUGS programming techniques in a variety of Bayesian modeling settings. The author provides an...
Editeur :
Wiley
Parution :
2009-02-23
Collection :
Wiley Series in Computational Statistics
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The Credit Scoring Toolkit provides an all-encompassing view of the use of statistical models to assess retail credit risk and provide automated decisions.
In eight modules, the book provides frameworks for both theory and practice. It first explores the economic...
Editeur :
OUP Oxford
Parution :
2007-08-30
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Bayesian methods combine information available from data with any prior information available from expert knowledge. The Bayes linear approach follows this path, offering a quantitative structure for expressing beliefs, and systematic methods for adjusting these...
Editeur :
Wiley
Parution :
2007-04-30
Collection :
Wiley Series in Probability and Statistics
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Bayesian methods combine the evidence from the data at hand with previous quantitative knowledge to analyse practical problems in a wide range of areas. The calculations were previously complex, but it is now possible to routinely applyBayesian methods due to advances...
Editeur :
Wiley
Parution :
2007-04-04
Collection :
Wiley Series in Probability and Statistics
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We all like to know how reliable and how risky certain situations are, and our increasing reliance on technology has led to the need for more precise assessments than ever before. Such precision has resulted in efforts both to sharpen the notions of risk and...
Editeur :
Wiley
Parution :
2006-08-14
Collection :
Wiley Series in Probability and Statistics
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Statistics lectures have been a source of much bewilderment and frustration for generations of students. This book attempts to remedy the situation by expounding a logical and unified approach to the whole subject of data analysis.
This text is intended as a tutorial...
Editeur :
OUP Oxford
Parution :
2006-06-02
PDF
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The use of Bayesian methods for the analysis of data has grown substantially in areas as diverse as applied statistics, psychology, economics and medical science. Bayesian Methods for Categorical Data sets out to demystify modern Bayesian methods, making them accessible...
Editeur :
Wiley
Parution :
2005-12-13
Collection :
Wiley Series in Probability and Statistics
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