Uncertainty Analysis for Engineers and Scientists
A Practical Guide
Published on 16. December 2020
978-1-108-80448-6 (ISBN)
Description
Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB (R), making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.
Reviews / Votes
'This book would be an ideal text for an introductory uncertainty analysis course in any engineering discipline. It offers an excellent mix of theory and practice, with numerous engineering examples (using both Excel and MATLAB (R)) on every topic discussed. It also provides a large number of problems at the end of each chapter, something I find to be relatively uncommon among similar texts.' Jake Blanchard, University of Wisconsin, Madison 'Uncertainty Analysis for Engineers and Scientists is an excellent supplemental text for any science or engineering laboratory course. The book presents a straightforward but thorough discussion of uncertainty and includes tools - in the form of worksheets - that allow students to systematically evaluate and consider error estimates. Examples are accessible and well-chosen and range from bathroom scales and commuting times to thermocouples, multimeters, and differential pressure meters. A welcome resource for students and practitioners alike.' Susan Muller, University of California, Berkeley 'Morrison's book seems suitable for use as a required or supplementary textbook in many undergraduate STEM courses. Of possible interest is that the ebook is available through the Cambridge Core interface for unlimited use, free of digital rights management impediments ... Highly recommended.' J. J. Meier, Choice MagazineMore details
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Professional and scholarly
Illustrations
Worked examples or Exercises
File size
36,21 MB
ISBN-13
978-1-108-80448-6 (9781108804486)
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Schweitzer Classification
Other editions
Additional editions
Book
01/2021
Cambridge University Press
€109.50
Shipment within 15-20 days
Book
01/2021
Cambridge University Press
€54.00
Shipment within 15-20 days
Person
Content
1. Introduction and definitions; 2. Quick start: replicate error basics; 3. Reading error; 4. Calibration error; 5. Error propagation; 6. Model fitting.
