FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2951274103> ?p ?o ?g. }

• W2951274103 abstract "This Guide aims to describe various methods that can be used to estimate the uncertainty of measurement, particularly that arising from the processes of sampling and the physical preparation of samples. It takes a holistic view of the measurement process to include all of these steps as well as the analytical process, in the case where the measurand is defined in term of the value of the analyte concentration in the sampling target, rather than in just the sample delivered to the laboratory. The Guide begins by explaining the importance of knowing the total uncertainty in a measurement for making reliable interpretation of measurements, and judging their fitness for purpose. It covers the whole measurement process, defining each of the component steps, and describing the effects and errors that cause uncertainty in the final measurement. Two main approaches to the estimation of uncertainty from sampling are described. The empirical approach uses repeated sampling and analysis, under various conditions, to quantify the effects caused by factors such as the heterogeneity of the analyte in the sampling target and variations in the application of one or more sampling protocols, to quantify uncertainty (and usually some of its component parts). The modelling approach uses a predefined model that identifies each of the component parts of the uncertainty, making estimates of each component, and sums them in order to make an overall estimate. Models from sampling theory can sometimes be used in this approach to estimate some of the components from a knowledge of the characteristics of particulate constituents. Worked examples are given of each of these approaches, across a range of different application areas. These include investigations of the environment (of soil and water), of food (at growing and processing) and of animal feed. The estimates of the total uncertainty of measurement range from a few per cent up to 84% relative to the measurand. The contribution of the sampling is occasionally small but is often dominant (>90% of the total measurement variance). This suggests an increased proportion of the expenditure needs to be aimed at the sampling, rather than the chemical analysis, if the total uncertainty needs to be reduced in order to achieve fitness for purpose. Management issues addressed include the responsibility of the quality of the whole measurement process, which needs to include the sampling procedure. Guidance is given on the selection of the most appropriate approach for any application, and whether one initial validation of the system is sufficient, or whether there is a need for ongoing monitoring of the uncertainty from sampling using quality control of sampling. The extra cost of estimating uncertainty is also considered in relation to the cost savings that can be made by knowing the uncertainty of measurement more reliably. Such a Guide can never be fully comprehensive, and although there are appendices with details of some of the statistical techniques employed and sources of more detailed advice, there will often be a need for expert advice in more complex situations. This Guide aims to be a useful introduction to this subject, but we hope it will also stimulate further research into improved methods of uncertainty estimation" @default.
• W2951274103 created "2019-06-27" @default.
• W2951274103 creator A5009208557 @default.
• W2951274103 creator A5018878410 @default.
• W2951274103 date "2007-01-01" @default.
• W2951274103 modified "2023-09-23" @default.
• W2951274103 title "Measurement uncertainty arising from sampling: a guide to methods and approaches, 1st Edition." @default.
• W2951274103 hasPublicationYear "2007" @default.
• W2951274103 type Work @default.
• W2951274103 sameAs 2951274103 @default.
• W2951274103 citedByCount "0" @default.
• W2951274103 crossrefType "journal-article" @default.
• W2951274103 hasAuthorship W2951274103A5009208557 @default.
• W2951274103 hasAuthorship W2951274103A5018878410 @default.
• W2951274103 hasConcept C105795698 @default.
• W2951274103 hasConcept C106131492 @default.
• W2951274103 hasConcept C111919701 @default.
• W2951274103 hasConcept C119857082 @default.
• W2951274103 hasConcept C121332964 @default.
• W2951274103 hasConcept C124101348 @default.
• W2951274103 hasConcept C137209882 @default.
• W2951274103 hasConcept C140779682 @default.
• W2951274103 hasConcept C168167062 @default.
• W2951274103 hasConcept C177803969 @default.
• W2951274103 hasConcept C185592680 @default.
• W2951274103 hasConcept C198531522 @default.
• W2951274103 hasConcept C31972630 @default.
• W2951274103 hasConcept C32230216 @default.
• W2951274103 hasConcept C33923547 @default.
• W2951274103 hasConcept C41008148 @default.
• W2951274103 hasConcept C43617362 @default.
• W2951274103 hasConcept C97355855 @default.
• W2951274103 hasConcept C98045186 @default.
• W2951274103 hasConceptScore W2951274103C105795698 @default.
• W2951274103 hasConceptScore W2951274103C106131492 @default.
• W2951274103 hasConceptScore W2951274103C111919701 @default.
• W2951274103 hasConceptScore W2951274103C119857082 @default.
• W2951274103 hasConceptScore W2951274103C121332964 @default.
• W2951274103 hasConceptScore W2951274103C124101348 @default.
• W2951274103 hasConceptScore W2951274103C137209882 @default.
• W2951274103 hasConceptScore W2951274103C140779682 @default.
• W2951274103 hasConceptScore W2951274103C168167062 @default.
• W2951274103 hasConceptScore W2951274103C177803969 @default.
• W2951274103 hasConceptScore W2951274103C185592680 @default.
• W2951274103 hasConceptScore W2951274103C198531522 @default.
• W2951274103 hasConceptScore W2951274103C31972630 @default.
• W2951274103 hasConceptScore W2951274103C32230216 @default.
• W2951274103 hasConceptScore W2951274103C33923547 @default.
• W2951274103 hasConceptScore W2951274103C41008148 @default.
• W2951274103 hasConceptScore W2951274103C43617362 @default.
• W2951274103 hasConceptScore W2951274103C97355855 @default.
• W2951274103 hasConceptScore W2951274103C98045186 @default.
• W2951274103 hasLocation W29512741031 @default.
• W2951274103 hasOpenAccess W2951274103 @default.
• W2951274103 hasPrimaryLocation W29512741031 @default.
• W2951274103 hasRelatedWork W1981618598 @default.
• W2951274103 hasRelatedWork W1992982431 @default.
• W2951274103 hasRelatedWork W2042647242 @default.
• W2951274103 hasRelatedWork W204903667 @default.
• W2951274103 hasRelatedWork W2049793575 @default.
• W2951274103 hasRelatedWork W2064695413 @default.
• W2951274103 hasRelatedWork W2131184356 @default.
• W2951274103 hasRelatedWork W2156379765 @default.
• W2951274103 hasRelatedWork W2477565636 @default.
• W2951274103 hasRelatedWork W2501751840 @default.
• W2951274103 hasRelatedWork W2561272572 @default.
• W2951274103 hasRelatedWork W2567388360 @default.
• W2951274103 hasRelatedWork W2593353420 @default.
• W2951274103 hasRelatedWork W2710226913 @default.
• W2951274103 hasRelatedWork W2774201003 @default.
• W2951274103 hasRelatedWork W2963934773 @default.
• W2951274103 hasRelatedWork W2998227733 @default.
• W2951274103 hasRelatedWork W652674688 @default.
• W2951274103 hasRelatedWork W83773792 @default.
• W2951274103 hasRelatedWork W2274213996 @default.
• W2951274103 isParatext "false" @default.
• W2951274103 isRetracted "false" @default.
• W2951274103 magId "2951274103" @default.
• W2951274103 workType "article" @default.