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 8466:2001

ISO 8466:2001 Water quality – Calibration and evaluation of analytical methods and estimation of performance characteristics – Part 2: Calibration strategy for non-linear second-order calibration functions

CDN $124.00

SKU: 500f7aeccb23 Category:

Description

It is not always possible to accurately describe the relationship between a set of calibration points with a rectilinear

curve, even by decreasing the working range. Instead of the linear regression analysis, a least-squares fit to a

second-order polynomial is applied (see test for linearity in 4.1.3 of ISO 8466-1:1990[1]). Using this fit, it is possible

to calculate not only the calibration function but also the confidence interval associated with it.

This part of ISO 8466 is intended primarily for use in method development and may not necessarily be applicable to

all routine analyses.

Edition

2

Published Date

2001-11-01

Status

PUBLISHED

Pages

12

Language Detail Icon

English

Format Secure Icon

Secure PDF

Abstract

It is not always possible to accurately describe the relationship between a set of calibration points with a rectilinear

curve, even by decreasing the working range. Instead of the linear regression analysis, a least-squares fit to a

second-order polynomial is applied (see test for linearity in 4.1.3 of ISO 8466-1:1990[1]). Using this fit, it is possible

to calculate not only the calibration function but also the confidence interval associated with it.

This part of ISO 8466 is intended primarily for use in method development and may not necessarily be applicable to

all routine analyses.

Previous Editions

Can’t find what you are looking for?

Please contact us at: