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 28037:2010

ISO 28037:2010 Determination and use of straight-line calibration functions

CDN $379.00

SKU: 607457005a8e Category:

Description

ISO/TS 28037:2010 is concerned with linear, that is, straight-line, calibration functions that describe the relationship between two variables X and Y, namely, functions of the form Y = A + BX. Although many of the principles apply to more general types of calibration function, the approaches described exploit the simple form of the straight-line calibration function wherever possible.

Values of the parameters A and B are determined on the basis of measured data points (xi, yi), i = 1, … , m. Various cases are considered relating to the nature of the uncertainties associated with these data. No assumption is made that the errors relating to the yi are homoscedastic (having equal variance), and similarly for the xi when the errors are not negligible.

Estimates of the parameters A and B are determined using least squares methods. The emphasis is on choosing the least squares method most appropriate for the type of measurement data, in particular methods that reflect the associated uncertainties. The most general type of covariance matrix associated with the measurement data is treated, but important special cases that lead to simpler calculations are described in detail.

For all cases considered, methods for validating the use of the straight-line calibration functions and for evaluating the uncertainties and covariance associated with the parameter estimates are given.

ISO/TS 28037:2010 also describes the use of the calibration function parameter estimates and their associated uncertainties and covariance to predict a value of X and its associated standard uncertainty given a measured value of Y and its associated standard uncertainty.

Edition

1

Published Date

2010-08-30

Status

PUBLISHED

Pages

63

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

ISO/TS 28037:2010 is concerned with linear, that is, straight-line, calibration functions that describe the relationship between two variables X and Y, namely, functions of the form Y = A + BX. Although many of the principles apply to more general types of calibration function, the approaches described exploit the simple form of the straight-line calibration function wherever possible.

Values of the parameters A and B are determined on the basis of measured data points (xi, yi), i = 1, ... , m. Various cases are considered relating to the nature of the uncertainties associated with these data. No assumption is made that the errors relating to the yi are homoscedastic (having equal variance), and similarly for the xi when the errors are not negligible.

Estimates of the parameters A and B are determined using least squares methods. The emphasis is on choosing the least squares method most appropriate for the type of measurement data, in particular methods that reflect the associated uncertainties. The most general type of covariance matrix associated with the measurement data is treated, but important special cases that lead to simpler calculations are described in detail.

For all cases considered, methods for validating the use of the straight-line calibration functions and for evaluating the uncertainties and covariance associated with the parameter estimates are given.

ISO/TS 28037:2010 also describes the use of the calibration function parameter estimates and their associated uncertainties and covariance to predict a value of X and its associated standard uncertainty given a measured value of Y and its associated standard uncertainty.

Previous Editions

Can’t find what you are looking for?

Please contact us at: