An Introduction to Uncertainty in Measurement: Using the GUM
An Introduction to Uncertainty in Measurement: Using the GUM
Publisher: Cambridge University | Pages: 248 | 2006-07-03 | ISBN 0521844282 | PDF | 2 MB
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.
links
http://uploading.com/files/H5YQS1Q2/0521844282.zip.html
or
http://www.megaupload.com/?d=49MFYZ1F
An Introduction to Uncertainty in Measurement: Using the GUM
Publisher: Cambridge University | Pages: 248 | 2006-07-03 | ISBN 0521844282 | PDF | 2 MB
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.
links
http://uploading.com/files/H5YQS1Q2/0521844282.zip.html
or
http://www.megaupload.com/?d=49MFYZ1F