Measurement uncertainties in science and technology

Autori

• Michael Grabe

Parametri

• Matematica
• Natura
• Natura, animali
• Tecnologia e Ingegneria

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In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß` 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.

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Lingua: Inglese

Pubblicato: 2005