Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Introduction to Uncertainty in Measurement

Name: Introduction to Uncertainty in Measurement
Brand: Cambridge University Press
SKU: 04093199
Price: 22371 HUF
Availability: InStock
Author: Les Kirkup
ISBN: 9780521605793

Les Kirkup

R. B. Frenkel

Language

English

Book Paperback

Libristo code: 04093199

Publishers Cambridge University Press, June 2006

Measurement shapes scientific theories, characterises improvements in manufacturing processes and pr... Full description

Libristo code: 04093199

150 b

22 371 Ft

In stock at our supplier Shipping in 14-21 days

Up to 30 days for returns

Customers also purchased

Measurements and their Uncertainties Ifan Hughes

Paperback

19 047 Ft

Concrete: Microstructure, Properties, and Materials Bryce Bigger

Hardback

65 847 Ft

Rock Slope Engineering Duncan C. Wyllie

Paperback

51 255 Ft

The ASQ Metrology Handbook Heather A. Wade

Hardback

55 862 Ft

Geothermal Energy William E. Glassley

Hardback

99 509 Ft

Geothermal Energy Ingrid Stober

Paperback

47 595 Ft

Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.