An Introduction to Error Analysis Uncertainties 2nd Ed John Taylor 1997 PB

Cha-Ching Newt
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Specifiche dell'oggetto

Condizione
Buone condizioni: Libro che è già stato letto ma è in buone condizioni. Mostra piccolissimi danni ...
Illustrator
Yes
ISBN
9780935702750

Informazioni su questo prodotto

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
Topic
General, Physics / Mathematical & Computational
Publication Year
1997
Features
Revised
Genre
Science
Author
John R. Taylor
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
Dewey Edition
18
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 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., 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 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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