Posted by **lout** at March 18, 2010

Publisher: Springer 2010 | 312 Pages | ISBN: 1849960704 | PDF | 6 MB

Posted by **naag** at March 4, 2017

English | 14 Feb. 2017 | ISBN: 3662540282 | 450 Pages | Epub | 0.9 MB

Posted by **hill0** at Feb. 4, 2017

English | 14 Feb. 2017 | ISBN: 3662540282 | 450 Pages | PDF | 15.49 MB

This book introduces data-driven remaining useful life prognosis techniques, and shows how to utilize the condition monitoring data to predict the remaining useful life of stochastic degrading systems and to schedule maintenance and logistics plans. It is also the first book that describes the basic data-driven remaining useful life prognosis theory systematically and in detail.

Posted by **fdts** at Dec. 12, 2016

by John P. Buonaccorsi

English | 2010 | ISBN: 1420066560 | 463 pages | PDF | 2.96 MB

Posted by **arundhati** at Oct. 23, 2016

2016 | ISBN-10: 3319411071 | 292 pages | PDF | 9 MB

Posted by **Underaglassmoon** at Dec. 20, 2015

Springer | Mathematics | January 15, 2016 | ISBN-10: 9812879714 | 298 pages | pdf | 10 mb

Editors: Siddiqi, Abul Hasan, Manchanda, Pammy, Bhardwaj, Rashmi (Eds.)

Highlights challenging problems of nanotechnology, biotechnology, medical science,oil industry and financial technology

Presents a panel discussion on the role of mathematical models to meet the mathematical and technological challenges posed by Cyber Physical Systems and Internet of Things

Posted by **nebulae** at Nov. 2, 2015

English | ISBN: 0470682256 | 2010 | PDF | 350 pages | 8.3 MB

Posted by **Maroutan** at March 17, 2015

English | 2015 | 385 Pages | ISBN: 3662460580 | PDF | 14.52 MB

This monograph presents new developments in multi-level decision-making theory, technique and method in both modeling and solution issues. It especially presents how a decision support system can support managers in reaching a solution to a multi-level decision problem in practice…

Posted by **insetes** at Feb. 19, 2015

2015 | 396 Pages | ISBN: 3662460580 | PDF | 15 MB

Posted by **libr** at Sept. 28, 2014

English | 2013 | ISBN-10: 3642343325 | 712 pages | PDF | 15,6 MB

The aim of this book is an applied and unified introduction into parametric, non- and semiparametric regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal basis, and their appropriate application is shown through many real data examples and case studies.