Analytical Measurement Terminology: Handbook of Terms Used in Quality Assurance of Analytical MeasurementThe variety of complex terms used in the Quality Assurance aspect of analytical measurement can be the cause of considerable confusion. This unique handbook explains the most widely-used terminology in language that is readily understood, and attempts to place each term in context. Concepts are described in a way that is useful to all practitioners, particularly those concerned with quality assurance, validation and reliability of analytical measurements. Explanations of terms are always in line with the "official definition", often developed by international committees. Adopting a thematic approach, Analytical Measurement Terminology is divided into six main parts. The first four parts address the logical progression of an analytical measurement, from obtaining a sample, through method and materials, to reporting the result. The two remaining parts include a variety of terms encountered in quality systems and documentation, along with definitions of "mathematical" terms likely to be encountered by the analyst in their everyday work. The index provides easy access to both the definitions and the accompanying examples. With its straightforward descriptions and many examples, this handbook, produced as part of the VAM (Valid Analytical Measurement) programme, will provide valuable assistance for a wide variety of new and experienced practitioners, as well as for teachers and lecturers. |
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Common terms and phrases
acceptable quality level Accreditation Action Limit amount analyst needs analytical measurement analytical method analytical procedure analytical result arithmetic mean audit bias calculated certified reference material chemical client components confidence interval confidence limits coverage factor defined describe detection limit documentation ensure Equation error distribution estimate Example expanded uncertainty extract gas chromatography Gaussian identical samples identify International laboratory sample level of confidence limit of detection matrix reference material mean value measurand measurement uncertainty nitrate Non-parametric statistical normally null hypothesis obtained outliers parameters population precision protocol Quality Assurance quality management quality system quantity random errors raw data Relative standard deviation Robust statistical sample matrix sample solutions sample standard deviation sampling plan Section 6.2 significance test spiked sample standard method standard operating procedures substance systematic errors test material test sample true value type II error types valid volumetric flask Warning Limit Z score
References to this book
Nachweisvermögen von Analysenverfahren: Objektive Bewertung und ... Günter Ehrlich,Klaus Danzer No preview available - 2005 |