The role of metrology in the interpretation of analytical data

Research output: Non-textual formSound/Visual production (digital) – Annual report year: 2007Research

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The role of metrology in the interpretation of analytical data. Heydorn, Kaj (Author). 2007. Event: 1st Nordplus Seminar : Geochemical mapping and monitoring, Vilnius.

Research output: Non-textual formSound/Visual production (digital) – Annual report year: 2007Research

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APA

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Heydorn K. 2007. The role of metrology in the interpretation of analytical data. [Sound/Visual production (digital)]. 1st Nordplus Seminar : Geochemical mapping and monitoring, Vilnius, 01/01/2007

MLA

Heydorn, Kaj, The role of metrology in the interpretation of analytical data, Sound/Visual production (digital), 2007, 1st Nordplus Seminar : Geochemical mapping and monitoring, Vilnius, 01 Jan 2007.http://phytorem.org.ru/remede

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Bibtex

@misc{4d64782a75714ae7b43c8ca5380c3488,
title = "The role of metrology in the interpretation of analytical data",
abstract = "Disposition: Science of measurement Definition of the measurand Specification of the measurand Measurement uncertainty Result of measurement a. Correction for bias b. Verification of uncertainty Type A: Sources of variability – uncertainty components Type B: All other sources of uncertainty Treatment of data c. Comparison between observed and expected variability d. Distributions, i.e. Poisson, Gaussian, log-normal Examples from the literature e. JRNC 183 f. Hair data from 151 g. Irina data from 187",
keywords = "Metrology",
author = "Kaj Heydorn",
year = "2007",
language = "English",

}

RIS

TY - ADVS

T1 - The role of metrology in the interpretation of analytical data

A2 - Heydorn, Kaj

PY - 2007

Y1 - 2007

N2 - Disposition: Science of measurement Definition of the measurand Specification of the measurand Measurement uncertainty Result of measurement a. Correction for bias b. Verification of uncertainty Type A: Sources of variability – uncertainty components Type B: All other sources of uncertainty Treatment of data c. Comparison between observed and expected variability d. Distributions, i.e. Poisson, Gaussian, log-normal Examples from the literature e. JRNC 183 f. Hair data from 151 g. Irina data from 187

AB - Disposition: Science of measurement Definition of the measurand Specification of the measurand Measurement uncertainty Result of measurement a. Correction for bias b. Verification of uncertainty Type A: Sources of variability – uncertainty components Type B: All other sources of uncertainty Treatment of data c. Comparison between observed and expected variability d. Distributions, i.e. Poisson, Gaussian, log-normal Examples from the literature e. JRNC 183 f. Hair data from 151 g. Irina data from 187

KW - Metrology

M3 - Sound/Visual production (digital)

ER -