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An Introduction to Error Analysis, third edition - The study of uncertainties in physical measurements (Paperback, 3rd Revised edition)
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An Introduction to Error Analysis, third edition - The study of uncertainties in physical measurements (Paperback, 3rd Revised edition)
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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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