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Decision Making Under Measurement Uncertainty Using Random Variables

Name: Decision Making Under Measurement Uncertainty Using Random Variables
Brand: VDM Verlag
SKU: 9783639360424
Price: 1173 CZK
Availability: InStock

Autor: Pankaj Dahiya, Chakresh Kumar

Jazyk:

Vazba: Brožovaná

Vydavatel: VDM Verlag

Dostupnost: U nakladatele na objednávku

Odesíláme za 17-27 dnů

1 173 Kč

Everyday final applications of measurement processes are mostly aimed at making a decision, on the b...

Informace o knize

Autor

Pankaj Dahiya, Chakresh Kumar

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2011

Stránek

EAN

9783639360424

ISBN

3639360427

Enbook ID

06842950

Vydavatel

VDM Verlag

Hmotnost

118

Rozměry

152 x 229 x 4

Kompletní popis

Everyday final applications of measurement processes are mostly aimed at making a decision, on the basis of comparison between the measurement result and a threshold, which could be a single numerical value or another measurement result. Of course, the latter case is the more general one since the single-value threshold is, from a metrological point of view, a measurement result with zero associated uncertainty or, more specifically, a measurement result whose associated uncertainty is much lower or negligible, with respect to the uncertainty associated to the other measurement result. Moreover, in recent years, because of the great diffusion of instruments based on digital signal processing, decisions can be required not only at the end but also within the measurement process itself so that the comparison of measurement results becomes part of the measurement process itself. The comparison of measurement results or, in other words, decision making, is a very important task. Neglecting measurement uncertainty could lead to decision that might be dramatically wrong.

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Decision Making Under Measurement Uncertainty Using Random Variables

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