Measurements and their Uncertainties
A practical guide to modern error analysis
(Sprache: Englisch)
This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically....
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Klappentext zu „Measurements and their Uncertainties “
This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.
Inhaltsverzeichnis zu „Measurements and their Uncertainties “
- 1: Errors in the physical sciences
- 2: Random errors in measurement
- 3: Uncertainties as probabilities
- 4: Error propagation
- 5: Data visualisation and reduction
- 6: Least-squares fitting of complex functions
- 7: Computer minimisation and the error matrix
- 8: Hypothesis testing - how good are our models
- 9: Topics for further summary
Autoren-Porträt von Ifan Hughes, Thomas Hase
Ifan Hughes took his BSc at Imperial College London, his DPhil at Oxford University, and undertook post-doctoral research at Oxford, Yale and Sussex. He has been at Durham University since 1999, where he is now a Senior Lecturer. Thomas Hase has been an Associate Professor at Warwick University since 2007. Prior to that, he did his BSc, PhD and post-doctoral research at Durham University.
Bibliographische Angaben
- Autoren: Ifan Hughes , Thomas Hase
- 2010, 160 Seiten, Maße: 18,9 x 24,4 cm, Kartoniert (TB), Englisch
- Verlag: Oxford University Press
- ISBN-10: 019956633X
- ISBN-13: 9780199566334
- Erscheinungsdatum: 01.07.2010
Sprache:
Englisch
Rezension zu „Measurements and their Uncertainties “
With the shift from analytic methods to spreadsheet-based techniques, this book will enable students simultaneously to (a) become fluent in the choice and application of appropriate methods (b) understand the underlying principles. s David Saxon, University of Glasgow
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