An introduction to error analysis : the study of uncertainties in physical measurements

By:

Taylor, John R

Material type: Text

9780935702071
0935702075
9780935702101
0935702105

Subject(s):

Physical measurements

DDC classification:

511.43 TAY

Contents:

Preface to the Second Edition -- Preface to the First Edition -- Ch. 1. Preliminary Description of Error Analysis -- Ch. 2. How to Report and Use Uncertainties -- Ch. 3. Propagation of Uncertainties -- Ch. 4. Statistical Analysis and Random Uncertainties -- Ch. 5. The Normal Distribution -- Ch. 6. Rejection of Data -- Ch. 7. Weighted Averages -- Ch. 8. Least-Squares Fitting -- Ch. 9. Covariance and Correlation -- Ch. 10. The Binomial Distribution -- Ch. 11. The Poisson Distribution -- Ch. 12. The Chi-Squared Test for a Distribution -- App. A. Normal Error Integral, I -- App. B. Normal Error Integral, II -- App. C. Probabilities for Correlation Coefficients -- App. D. Probabilities for Chi Squared -- App. E. Two Proofs Concerning Sample Standard Deviations -- Bibliography -- Answers to Quick Checks and Odd-Numbered Problems -- Index.

Summary: An introduction to error analysis for first degree students who do experimental work in science and engineering courses.

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Lending Books	Main Library Stacks	Reference	511.43 TAY (Browse shelf(Opens below))	Available		004469
Reference Books	Main Library Reference	Reference	511.43 TAY (Browse shelf(Opens below))	Available		004452

Total holds: 0

Includes Index

Preface to the Second Edition --
Preface to the First Edition --
Ch. 1. Preliminary Description of Error Analysis --
Ch. 2. How to Report and Use Uncertainties --
Ch. 3. Propagation of Uncertainties --
Ch. 4. Statistical Analysis and Random Uncertainties --
Ch. 5. The Normal Distribution --
Ch. 6. Rejection of Data --
Ch. 7. Weighted Averages --
Ch. 8. Least-Squares Fitting --
Ch. 9. Covariance and Correlation --
Ch. 10. The Binomial Distribution --
Ch. 11. The Poisson Distribution --
Ch. 12. The Chi-Squared Test for a Distribution --
App. A. Normal Error Integral, I --
App. B. Normal Error Integral, II --
App. C. Probabilities for Correlation Coefficients --
App. D. Probabilities for Chi Squared --
App. E. Two Proofs Concerning Sample Standard Deviations --
Bibliography --
Answers to Quick Checks and Odd-Numbered Problems --
Index.

An introduction to error analysis for first degree students who do experimental work in science and engineering courses.

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