Max Planck Institute for Chemical Physics of Solids - Library Catalog

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

By: Material type: TextTextLanguage: English Publisher: Sausalito, Calif. University Science Books 1997Edition: 2. edDescription: XVII, 327 S. graph. Darst. 26 cmContent type:
  • Text
Media type:
  • ohne Hilfsmittel zu benutzen
Carrier type:
  • Band
ISBN:
  • 9780935702750
  • 0935702423
  • 093570275X
  • 9780935702422
Subject(s): DDC classification:
  • 530.1'6-20
  • 511.43
  • 530.1/6 20
  • 530.1/6
  • 530.1'6-dc20
LOC classification:
  • QA275
  • QC39
  • QC39.T4
Other classification:
  • 11
  • UX 1100
  • SK 910
  • 33.03
  • 54.33
  • 33.05
Online resources:
Contents:
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.
Summary: 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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Includes bibliographical references (p. 299) and index

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.

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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