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At the turn of the 19 th century, Carl Friedrich Gauß founded error calculus by predicting the then unknown position of the planet Ceres. Ever since, error calculus has occupied a place at the heart of science. 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…mehr

Produktbeschreibung
At the turn of the 19th century, Carl Friedrich Gauß founded error calculus by predicting the then unknown position of the planet Ceres. Ever since, error calculus has occupied a place at the heart of science. 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.

Autorenporträt
Michael Grabe studierte Physik in Braunschweig und Stuttgart, Diplom in Stuttgart, Doktorand - Stipendium der Deutschen Forschungsgemeinschaft an der University of Colorado in Boulder, Promotion zum Dr. rer. nat. in Braunschweig, Wissenschaftlicher Assistent und Lehrbeauf tragter für Physikalische Chemie und Datenverarbeitung. Wissenschaftlicher Mitarbeiter der Physikalisch-Technischen Bundesanstalt Braunschweig, beauftragt mit Problemen des gesetzlichen Messwesens, der rechnergesteuerten interferrometrischen Längenmessung, des Schätzens von Messungssicherheiten und der Anpassung von Fundamentalkonstanten der Physik. Publikationen und Vorträge über Verfahren zum Auswerten von Messdaten.