Posted by **Underaglassmoon** at Nov. 1, 2016

Wiley | Mechanical Engineering | December 12 2016 | ISBN-10: 1119153034 | 248 pages | pdf | 6.23 mb

by Tshilidzi Marwala (Author), Ilyes Boulkaibet (Author), Sondipon Adhikari (Author)

Posted by **libr** at Nov. 1, 2015

English | 2010 | ISBN: 0470824549 | 320 pages | PDF | 6,6 MB

Posted by **interes** at March 1, 2013

English | 2010 | ISBN: 0470824549 | 320 pages | PDF | 6,6 MB

Bayesian methods are a powerful tool in many areas of science and engineering, especially statistical physics, medical sciences, electrical engineering, and information sciences. They are also ideal for civil engineering applications, given the numerous types of modeling and parametric uncertainty in civil engineering problems. For example, earthquake ground motion cannot be predetermined at the structural design stage. Complete wind pressure profiles are difficult to measure under operating conditions. Material properties can be difficult to determine to a very precise level - especially concrete, rock, and soil.

Posted by **AvaxGenius** at June 27, 2017

English | PDF | 2017 | 552 Pages | ISBN : 9811041172 | 13.88 MB

This book presents operational modal analysis (OMA), employing a coherent and comprehensive Bayesian framework for modal identification and covering stochastic modeling, theoretical formulations, computational algorithms, and practical applications. Mathematical similarities and philosophical differences between Bayesian and classical statistical approaches to system identification are discussed, allowing their mathematical tools to be shared and their results correctly interpreted.

Posted by **nebulae** at April 30, 2017

English | ISBN: 1119125456 | 2016 | 640 pages | PDF | 19 MB

Posted by **Underaglassmoon** at Jan. 26, 2017

World Scientific | English | 2017 | ISBN-10: 9814719927 | 852 pages | PDF | 43.37 mb

by Gerald H Thomas (Author)

Posted by **Underaglassmoon** at Sept. 23, 2016

Wiley | Engineering | Sep 6 2016 | ISBN-10: 1118770617 | 360 pages | pdf | 7.09 mb

by Ruben Gonzalez (Author), Fei Qi (Author), Biao Huang (Author)

Posted by **Underaglassmoon** at Aug. 1, 2016

Springer | Statistics | August 28, 2016 | ISBN-10: 3319327887 | 327 pages | pdf | 3.14 mb

Authors: Phadia, Eswar G.

Provides valuable resource for nonparametric Bayesian analysis of big data

Includes a section on machine learning

Shows practical examples

Posted by **Underaglassmoon** at July 19, 2016

Springer | Signals & Communication | August 16, 2016 | ISBN-10: 9811003785 | 114 pages | pdf | 6.6 mb

Authors: Davey, S., Gordon, N., Holland, I., Rutten, M., Williams, J.

Written by members of the MH370 search team

Contains a tutorial description of available data allowing readers to work out their own solutions

Posted by **arundhati** at May 19, 2016