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Introduction to Error Analysis : The Study of Uncertainties in Physical Measurements by William M. Stigliani, Harry B. Gray, Kathleen L. Purvis-Roberts and John R. Taylor (2022, Hardcover)

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By Taylor, John R.; Purvis-Roberts, Kathleen L.; Stigliani, William M.; Gray, Harry B.

About this product

Product Identifiers

PublisherMIT Press

ISBN-101940380146

ISBN-139781940380148

eBay Product ID (ePID)21057270778

Product Key Features

Edition3

Book TitleIntroduction to Error Analysis : the Study of Uncertainties in Physical Measurements

Number of Pages380 Pages

LanguageEnglish

TopicGeneral, Physics / General

Publication Year2022

GenreScience

AuthorWilliam M. Stigliani, Harry B. Gray, Kathleen L. Purvis-Roberts, John R. Taylor

FormatHardcover

Dimensions

Item Height0.8 in

Item Weight28.3 Oz

Item Length9.6 in

Item Width6.8 in

Additional Product Features

Intended AudienceTrade

LCCN2022-003415

Reviews"The new chapter on Bayesian statistics is extremely clear and well written, and is another one of John Taylor's fabulous expositions. I enjoyed how Taylor develops the subject by using it to answer questions about the effectiveness of a vaccine. Before reading this chapter I wondered what assumptions are needed to derive a numerical value for a vaccine's effectiveness, and I also wondered about the data needed and the methods used. Lo and behold, all my questions were answered in this chapter! I definitely will buy the new edition of Error Analysis and I look forward to delving into the Bayesian statistics." --Mark Semon, Bates College, The new chapter on Bayesian statistics is extremely clear and well written, and is another one of John Taylor's fabulous expositions. I enjoyed how Taylor develops the subject by using it to answer questions about the effectiveness of a vaccine. Before reading this chapter I wondered what assumptions are needed to derive a numerical value for a vaccine's effectiveness, and I also wondered about the data needed and the methods used. Lo and behold, all my questions were answered in this chapter! I definitely will buy the new edition of Error Analysis and I look forward to delving into the Bayesian statistics.

Dewey Edition18

TitleLeadingAn

Dewey Decimal500

Table Of ContentPART I 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 PART II 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 13. Bayesian Statistics APPENDICES A. Normal Error Integral, I B. Normal Error Integral, II C. Probabilities for Correlation Coefficients D. Probabilities for Chi Squared E. Two Proofs Concerning Sample Standard Deviations Answers to Quick Checks and Odd-Numbered Problems Index

SynopsisA new third edition of John R. Taylor's best-selling text that features Bayesian statistics and updated new chapter-ending problems throughout., John R. Taylor's best-selling text will be released in a new third edition that features Bayesian statistics and updated new chapter-ending problems throughout. Previously translated into nine languages, this brilliant little text introduces the study of uncertainties to lower division science students using familiar examples. This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts., This remarkable text by John R. Taylor has been a non-stop best-selling international hit since it was first published forty years ago. However, the two-plus decades since the second edition was released have seen two dramatic developments; the huge rise in popularity of Bayesian statistics, and the continued increase in the power and availability of computers and calculators. In response to the former, Taylor has added a full chapter dedicated to Bayesian thinking, introducing conditional probabilities and Bayes' theorem. The several examples presented in the new third edition are intentionally very simple, designed to give readers a clear understanding of what Bayesian statistics is all about as their first step on a journey to become practicing Bayesians. In response to the second development, Taylor has added a number of chapter-ending problems that will encourage readers to learn how to solve problems using computers. While many of these can be solved using programs such as Matlab or Mathematica, almost all of them are stated to apply to commonly available spreadsheet programs like Microsoft Excel. These programs provide a convenient way to record and process data and to calculate quantities like standard deviations, correlation coefficients, and normal distributions; they also have the wonderful ability - if students construct their own spreadsheets and avoid the temptation to use built-in functions - to teach the meaning of these concepts., This remarkable text by John R. Taylor has been a nonstop best-selling international hit since it was first published forty years ago. The previous edition was translated into nine languages and adopted by more colleges and universities that we could count. This new edition includes a chapter on Bayesian statistics and new and updated chapter-ending problems as well as Quick Check exercises throughout. Taylor's brilliant new third edition is available in hardcover, softcover, and eBook. Book jacket.

LC Classification NumberQC39.T4 2022