logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Engineering Design Reliability Handbook 1st Edition Anita J Brandolini

  • SKU: BELL-1272462
Engineering Design Reliability Handbook 1st Edition Anita J Brandolini
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Engineering Design Reliability Handbook 1st Edition Anita J Brandolini instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 7.61 MB
Pages: 474
Author: Anita J. Brandolini, Deborah D. Hills
ISBN: 9780824789701, 0824789709
Language: English
Year: 2004
Edition: 1

Product desciption

Engineering Design Reliability Handbook 1st Edition Anita J Brandolini by Anita J. Brandolini, Deborah D. Hills 9780824789701, 0824789709 instant download after payment.

Researchers in industry and academia are making important advances on various fronts including reliability-based design and modeling of uncertainty when data is limited. Still, industry continues to lose billions of dollars each year because of unexpected system failures. Engineering Design Reliability Handbook is a valuable addition to the reliability literature. The book presents an industrial perspective of non-deterministic approaches and documented stories and quantifies the benefits of these approaches. It considers the issue of modeling uncertainty when data is scarce and provides a comparison of non-deterministic approaches, both numerically and experimentally in design problems.

Related Products