Search
×
FR

Placeholder headline

This is just a placeholder headline

API STD 521: Guide for Pressure-relieving and Depressuring Systems – Edition 6

$

682

BUY NOW

Placeholder headline

This is just a placeholder headline

API STD 653: Tank Inspection, Repair, Alteration, and Reconstruction – Edition 4

$

507

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z662:19 – Oil and gas pipeline systems

$

1197

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z341 Series-18: Storage of hydrocarbons in underground formations

$

878

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z246.2-14 – Emergency preparedness and response for petroleum and natural gas industry systems

$

596

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z341 Series:22 – Storage of hydrocarbons in underground formations

$

878

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z731-09 (R2014) – Emergency Preparedness and Response

$

177

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z662:23 – Oil and gas pipeline systems

$

1197

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA Z341 Series:26 – Storage of Hydrocarbons in underground formations

$

878

BUY NOW

Placeholder headline

This is just a placeholder headline

CSA B51:24 Boiler, Pressure Vessel, and Pressure Piping Code

$

389

BUY NOW

ISO 98:2011

ISO 98:2011 Uncertainty of measurement – Part 3: Guide to the expression of uncertainty in measurement (GUM:1995) – Supplement 2: Extension to any number of output quantities

CDN $379.00

SKU: 183d66dd7690 Category:

Description

ISO/IEC Guide 98-3:2008/Suppl.2:2011 is concerned with measurement models having any number of input quantities and any number of output quantities. The quantities involved might be real or complex. Two approaches are considered for treating such models. The first approach is a generalization of the GUM uncertainty framework. The second is a Monte Carlo method as an implementation of the propagation of distributions. Appropriate use of the Monte Carol method would be expected to provide valid results when the applicability of the GUM uncertainty framework is questionable.

For a prescribed coverage probability, ISO/IEC Guide 98-3:2008/Suppl.2:2011 can be used to provide a coverage region for the output quantities of a multivariate model, the counterpart of a coverage interval for a single scalar output quantiy. The provision of coverage regions includes those taking the form of a hyper-ellipsoid or a hyper-rectangle. These coverage regions are produced from the results of the two approaches described here. A procedure for providing an approximation to the smallest coverage region, obtained from results provided by the Monte Carol method, is also given. Detailed examples to illustrate the guidance are provided.

Edition

1

Published Date

2011-11-09

Status

PUBLISHED

Pages

73

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO/IEC Guide 98-3:2008/Suppl.2:2011 is concerned with measurement models having any number of input quantities and any number of output quantities. The quantities involved might be real or complex. Two approaches are considered for treating such models. The first approach is a generalization of the GUM uncertainty framework. The second is a Monte Carlo method as an implementation of the propagation of distributions. Appropriate use of the Monte Carol method would be expected to provide valid results when the applicability of the GUM uncertainty framework is questionable.

For a prescribed coverage probability, ISO/IEC Guide 98-3:2008/Suppl.2:2011 can be used to provide a coverage region for the output quantities of a multivariate model, the counterpart of a coverage interval for a single scalar output quantiy. The provision of coverage regions includes those taking the form of a hyper-ellipsoid or a hyper-rectangle. These coverage regions are produced from the results of the two approaches described here. A procedure for providing an approximation to the smallest coverage region, obtained from results provided by the Monte Carol method, is also given. Detailed examples to illustrate the guidance are provided.

Previous Editions

Can’t find what you are looking for?

Please contact us at: