Yuen Ka-Veng. Bayesian methods for structural dynamics and civil engineering

формат pdf
размер 6.71 МБ
добавлен 27 декабря 2011 г.

John Wiley & Sons (Asia) Pte Ltd, 2010. - 312 pages.

Bayesian inference is a statistical process that quanti?es the degree of belief of hypothesis, events or values of parameters. Many Bayesian methods have been developed in various areas of science and engineering, especially in statistical physics, medical sciences, electrical engineering, and information sciences, etc. This book presents various applications in civil engineering, including air quality prediction, ?nite-element model updating, hydraulic jump, seismic attenuation relationship, and structural health monitoring, etc.

Купить и скачать книгу

Смотрите также

Bayesian Data Analysis, Second Edition (Chapman & Hall/CRC Texts in Statistical Science)

формат djvu
размер 10.92 МБ
добавлен 25 ноября 2011 г.

Incorporating new and updated information, this second edition of THE bestselling text in Bayesian data analysis continues to emphasize practice over theory, describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to s...

Benaroya H., Han S.M., Nagurka M. Probability Models in Engineering and Science

формат pdf
размер 28.6 МБ
добавлен 15 декабря 2011 г.

Publisher: CRC Press | 2005 | ISBN10: 0824723155 | 760 pages Certainty exists only in idealized models. Viewed as the quantification of uncertainties, probabilitry and random processes play a significant role in modern engineering, particularly in areas such as structural dynamics. Unlike this book, however, few texts develop applied probability in the practical manner appropriate for engineers. Probability Models in Engineering and Science provi...

Bernardo J.M., Smith A.F.M. Bayesian Theory

формат pdf
размер 10.35 МБ
добавлен 27 декабря 2011 г.

Wiley series in probability and statistics. Wiley & Sons, Ltd, 2000. - 611 pages. This volume, first published in hardback in 1994, presents an overview of the foundations and key theoretical concepts of Bayesian Statistics. The world of Bayesian Statistics has been changing shape and growing in size rapidly and unpredictably - most notably in relation to developments in computational methods and the subsequent opening up of new application h...

Congdon P. Bayesian statistical modelling

формат pdf
размер 4.47 МБ
добавлен 02 января 2012 г.

2nd Edition. Wiley series in probability and statistics. Wiley & Sons, Ltd, 2006. - 598 pages. Contents: Introduction: The Bayesian Method, its Benefits and Implementation Bayesian Model Choice, Comparison and Checking The Major Densities and their Application Normal Linear Regression, General Linear Models and Log-Linear Models Hierarchical Priors for Pooling Strength and Overdispersed Regression Modelling Discrete Mixture Priors Multinomia...

DeGroot M.H., Schervish M.J. Probability and Statistics

формат pdf
размер 6.13 МБ
добавлен 04 октября 2011 г.

Addison Wesley, 2011. - 911 pages. 4th Edition The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors a...

Jaynes E.T. Probability Theory: The Logic of Science

формат djvu
размер 4.63 МБ
добавлен 23 мая 2011 г.

For many years there has been controversy over "frequentist" versus "Bayesian" methods of inference, in which the writer has been an outspoken partisan on the Bayesian side. The record of this up to 1981 is given in an earlier book (3aynes, 1983). In these old works there was a strong tendency, on both sides, to argue on the level of philosophy or ideology. We can now hold ourselves somewhat aloof from this because, thanks to recent work, there i...

Neapolitan R.E. Learning Bayesian Networks

формат pdf
размер 4.64 МБ
добавлен 09 октября 2011 г.

Издательство Prentice Hall, 2003, -704 pp. Bayesian networks are graphical structures for representing the probabilistic relationships among a large number of variables and doing probabilistic inference with those variables. During the 1980’s, a good deal of related research was done on developing Bayesian networks (belief networks, causal networks, influence diagrams), algorithms for performing inference with them, and applications that used th...

Neapolitan R.E. Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

формат pdf
размер 4.56 МБ
добавлен 03 января 2011 г.

Morgan Kaufmann Publishers, 2009. - 400 pages. The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book...

Vining G.G., Kowalski S. Statistical Methods for Engineers

формат pdf
размер 87.99 МБ
добавлен 08 июня 2011 г.

Duxbury Press, 2010. - 648 pages. "Statistical Methods for Engineers" offers a balanced, streamlined one-semester introduction to Engineering Statistics that emphasizes the statistical tools most needed by practicing engineers. Using real engineering problems with real data based on actual journals and consulting experience in the field, users see how statistics fits within the methods of engineering problem solving. The book teaches users how t...

Zhu W.Q., Lin Y.K., Cai G.Q. IUTAM Symposium on Nonlinear Stochastic Dynamics and Control

формат pdf
размер 7.03 МБ
добавлен 12 марта 2011 г.

1st Edition. Springer, 2011. 538 p. ISBN 978-94-007-0731-3 Non-linear stochastic systems are at the center of many engineering disciplines and progress in theoretical research had led to a better understanding of non-linear phenomena. This book provides information on new fundamental results and their applications which are beginning to appear across the entire spectrum of mechanics. The outstanding points of these proceedings are Coherent comp...