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An Introduction to Error Analysis, third edition

- The study of uncertainties in physical measurements
Af: John R Taylor Engelsk Hardback

An Introduction to Error Analysis, third edition

- The study of uncertainties in physical measurements
Af: John R Taylor Engelsk Hardback
Tjek vores konkurrenters priser
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.
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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.
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Produktdetaljer
Sprog: Engelsk
Sider: 380
ISBN-13: 9781940380148
Indbinding: Hardback
Udgave:
ISBN-10: 1940380146
Kategori: Fysik
Udg. Dato: 26 okt 2022
Længde: 21mm
Bredde: 263mm
Højde: 184mm
Forlag: University Science Books,U.S.
Oplagsdato: 26 okt 2022
Forfatter(e): John R Taylor
Forfatter(e) John R Taylor

Kategori Fysik

ISBN-13 9781940380148

Sprog Engelsk

Indbinding Hardback

Sider 380

Udgave

Længde 21mm

Bredde 263mm

Højde 184mm

Udg. Dato 26 okt 2022

Oplagsdato 26 okt 2022

Forlag University Science Books,U.S.

Kategori sammenhænge