Measurement Uncertainties In Science And Technology
by Michael Grabe /
2005 / English / PDF
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In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gau` error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.
