An Introduction to Error Analysis, third edition: The study of uncertainties in physical measurements

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 M