000			02297 a2200241 4500
008			250628b |||||||| |||| 00| 0 eng d
020			_a9781940380087
082			_a530.801 TAY
100			_aTaylor, John R.
245			_aIntroduction to error analysis: the study of uncertainties in physical measurements
250			_a3rd ed.
260			_aNew York: _bUniversity Science Books, _c2022
300			_axii, 371 p.: _bpbk.: _c25 cm.
504			_aIncludes Index
520			_aThis 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. https://uscibooks.aip.org/books/an-introduction-to-error-analysis-the-study-of-uncertainties-in-physical-measurements-third-edition/
650			_aPhysics
650			_aPhysical Units
650			_aPhysical Measurements
650			_aError Analysis
650			_aUncertainties
650			_aDistribution
942			_cTD _2ddc
999			_c60141 _d60141