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Introduction to Error Analysis: The Study of Uncertainties in Physical Measure
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Condition:
“Shelf wear.”
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages.
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Located in: Weaverville, North Carolina, United States
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Estimated between Wed, 20 Aug and Mon, 25 Aug
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eBay item number:205408460138
Item specifics
- Condition
- Good
- Seller Notes
- “Shelf wear.”
- ISBN
- 9780935702750
About this product
Product Identifiers
Publisher
MIT Press
ISBN-10
093570275X
ISBN-13
9780935702750
eBay Product ID (ePID)
4038801539
Product Key Features
Edition
2
Book Title
Introduction to Error Analysis : the Study of Uncertainties in Physical Measurements
Number of Pages
327 Pages
Language
English
Publication Year
1997
Topic
General, Physics / Mathematical & Computational
Features
Revised
Genre
Science
Format
Trade Paperback
Dimensions
Item Height
0.7 in
Item Weight
22.4 Oz
Item Length
10.2 in
Item Width
7.2 in
Additional Product Features
Intended Audience
Trade
Reviews
"Score a hit! The book reveals the exceptional skill of the author as lecturer and teacher. A valuable reference work for any student (or instructor) in the sciences and engineering." --The Physics Teacher "This text provides a rational, step-by-step introduction to understanding and estimating random uncertainties in physical measurements. Although the text is intended primarily for undergraduate students, I find it useful as well at the research level, to introduce graduate students to unfamiliar topics in the study of experimental uncertainties...a high-quality resource [students] can continue to learn from, even after they graduate." --Physics Today
Dewey Edition
18
Dewey Decimal
500
Edition Description
Revised edition
Table Of Content
Preface to Second Edition Preface to First Edition 1. Preliminary Description of Error Analysis 2. How to Report and Use Uncertainties 3. Propagation of Uncertainties 4. Statistical Analysis of Random Uncertainties 5. The Normal Distribution 6. Rejection of Data 7. Weighted Averages 8. Least-Squares Fitting 9. Covariance and Correlation 10. The Binomial Distribution 11. The Poisson Distribution 12. The Chi-Squared Test for a Distribution
Synopsis
This best-selling text by John Taylor, now released in its second edition, 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. This book has been translated into nine languages and has more adoptions than we can count., This best-selling text by John Taylor, now released in its second edition, 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. This book has been translated into nine languages, and has more adoptions than we can count.Translated into Spanish, French, Italian, Japanese, Polish, Chinese, Portuguese, Thai and Korean, The new second edition of this bestselling text introduces lowerdivision science students to the study of uncertainties in science. This book has been translated into nine languagesand has more adoptions than we can count., This text introduces error analysis through simple and familiar examples from carpentry and well-known historic experiments where an understanding of errors was crucial to the success of the experiment. It is designed as a reference for students in the physical sciences and engineering.
LC Classification Number
QC39.T4 1997
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