An introduction to error analysis : the study of uncertainties in physical measurements / John R. Taylor

2. ed.

English

Sausalito, Calif. : University Science Books, 1997

XVII, 327 S. : graph. Darst. ; 26 cm

Includes bibliographical references (p. 299) and index

978-0-935702-75-0

0-935702-42-3

0-935702-75-X

978-0-935702-42-2 : (hbk.)

Preliminary description of error analysis -- How to report and use uncertainties -- Propagation of uncertainties -- Statistical analysis of random uncertainties -- The normal distribution -- Rejection of data -- Weighted averages -- Least-squares fitting -- Covariance and correlation -- The binomial distribution -- The Poisson distribution -- The Chi-squared test for a distribution.

Preliminary description of error analysis -- How to report and use uncertainties -- Propagation of uncertainties -- Statistical analysis of random uncertainties -- The normal distribution -- Rejection of data -- Weighted averages -- Least-squares fitting -- Covariance and correlation -- The binomial distribution -- The Poisson distribution -- The Chi-squared test for a distribution.

9780935702750

*Experimentalphysik / Messung / Fehleranalyse

*Fehleranalyse / Wahrscheinlichkeitsrechnung / Messung / Physik

*Physik / Messfehler / Statistik

*Fehlerrechnung

*Error analysis (Mathematics) ; Physical measurements ; Physical measurements ; Error analysis (Mathematics) ; Mathematical physics ; Physical measurements ; Error analysis (Mathematics) ; Mathematical physics

Library of Congress Classification: QA275 ; QC39 ; QC39.T4

Dewey Decimal Classification: 530.1'6-20 ; 511.43 ; 530.1/6 ; 530.1/6 ; 530.1'6-dc20

Regensburger Verbund-Klassifikation: UX 1100: U Physik / UX Experimentelle Methoden der Physik und physikalische Technologie / Theorie und Auswertung der Messung allgemein, Meßmethoden und Messtechnik allgemein

Regensburger Verbund-Klassifikation: SK 910: SA-SP Mathematik / SK Monografien / Numerische Methoden der Konvergenzbeschleunigung, Iteration

bcl: 33.03

This text by John Taylor introduces the study of uncertainties to lower division science students. Assuming no prior knowledge, the author introduces error analysis through the use of familiar examples ranging from carpentry to well-known historic experiments. Pertinent worked examples, simple exercises throughout the text, and numerous chapter-ending problems combine to make the book ideal for use in physics, chemistry, and engineering lab courses

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