Der Artikel ist weiterhin als ^^OTHERCONDITION^^ verfügbar.
Autor: Robin Willink
ISBN-13: 9781139610605
Einband: EPUB
Seiten: 0
Sprache: Englisch
eBook Typ: Adobe Digital Editions
eBook Format: EPUB
Kopierschutz: Adobe DRM [Hard-DRM]
Systemvoraussetzungen
Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt.

Measurement Uncertainty and Probability

Geben Sie Ihre Bewertung ab!  
Wir verlosen jeden Monat unter allen freigegebenen Rezensionen
3 Gutscheine im Wert von 20 Euro. Teilnahmebedingungen
2
A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement uncertainty. The use of the Monte Carlo principle for the simulation of experiments is described. Useful for researchers and graduate students, the book also discusses other philosophies relating to the evaluation of measurement uncertainty. It employs clear notation and language to avoid the confusion that exists in this controversial field of science.
1
A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement uncertainty. The use of the Monte Carlo principle for the simulation of experiments is described. Useful for researchers and graduate students, the book also discusses other philosophies relating to the evaluation of measurement uncertainty. It employs clear notation and language to avoid the confusion that exists in this controversial field of science.

Zu diesem Artikel ist noch keine Rezension vorhanden.
Helfen sie anderen Besuchern und verfassen Sie selbst eine Rezension.

 

Rezensionen

Autor: Robin Willink
ISBN-13 :: 9781139610605
ISBN: 1139610600
Verlag: Cambridge University Press
Sprache: Englisch
Sonstiges: Ebook, Maximale Downloadanzahl: 3