10% off all books and free delivery over £50
Buy from our bookstore and 25% of the cover price will be given to a school of your choice to buy more books. *15% of eBooks.

Reliability, Life Testing and the Prediction of Service Lives

View All Editions (3)

The selected edition of this book is not available to buy right now.
Add To Wishlist
Write A Review

About

Reliability, Life Testing and the Prediction of Service Lives Synopsis

The prerequisite for reading this text is a calculus based course in Probability and Mathematical Statistics, along with the usual curricularmathematical requi- ments for every science major. For graduate students from disciplines other than mathematical sciences much advantage, viz., both insight and mathematical - turity, is gained by having had experience quantifying the assurance for safety of structures, operability of systems or health of persons. It is presumed that each student will have some familiarity with Mathematica or Maple or better yet also have available some survival analysis software such as S Plus or R, to handle the computations with the data sets. This material has been selected under the conviction that the most practical aid any investigator can have is a good theory. The course is intended for p- sons who will, during their professional life, be concerned with the 'theoretical' aspects of applied science. This implies consulting with industrial mathema- cians/statisticians' lead engineers in various fields, physcists, chemists, material scientists and other technical specialists who are collaborating to solve some d- ficult technological/scientific problem. Accordingly, there are sections devoted to the deportment of applied mathematicians during consulting. This corresponds to the 'bedside manner' of physicians and is a important aspect of professionalism.

About This Edition

ISBN: 9781441921888
Publication date:
Author: Sam C Saunders
Publisher: Springer an imprint of Springer New York
Format: Paperback
Pagination: 310 pages
Series: Springer Series in Statistics
Genres: Computer hardware
Stochastics
Security and fire alarm systems
Probability and statistics
Engineering: general
Maths for engineers