It is now becoming recognized in the measurement community that it is as important to communicate the uncertainty related to a specific measurement as it is to report the measurement itself. Without knowing the uncertainty, it is impossible for the users of the result to know what confidence can be placed in it; it is also impossible to assess the comparability of different measurements of the same parameter. This volume collects 20 outstanding papers on the topic, mostly published from 1999-2002 in the journal "Accreditation and Quality Assurance." They provide the rationale for why it is important to evaluate and report the uncertainty of a result in a consistent manner. They also describe the concept of uncertainty, the methodology for evaluating uncertainty, and the advantages of using suitable reference materials. Finally, the benefits to both the analytical laboratory and the user of the results are considered.
This book presents worked examples of five analytical procedures. These practical examples address traceability, validation and measurement uncertainty aspects in a systematic and consistent way, and cover applications in the analysis of water, food, as well as ores and minerals. This concept is based on the experiences of the TrainMiCc program, in which more than 9000 laboratory professionals all over Europe have participated.
Fit-for-purpose is a phrase familiar to all users of analytical data, who need to be assured that data provided by laboratories is both appropriate and of the required quality. Quality in the Food Analysis Laboratory surveys the procedures that a food analysis laboratory must consider to meet such requirements. The need to introduce quality assurance, the different quality models that are available and the legislative requirements are considered. Specific aspects of laboratory practice and particular areas of accreditation which may cause problems for analytical laboratories are also discussed. Covering for the first time those areas of direct importance to food analysis laboratories, this unique book will serve as an aid to those laboratories when introducing new measures and justifying those chosen.
Metrological traceability of chemical measurement results means the establishment of a relation to metrological stated references through an unbroken chain of comparisons. This volume collects 56 outstanding papers on the topic, mostly published in the period 2000-2003 in the journal "Accreditation and Quality Assurance". They provide the latest understanding, and possibly the rationalenbsp;why it is important to integrate the concept of metrological traceability including suitable measurement standards such as certified reference materials, into the standard measurement procedures of every analytical laboratory. In addition, this anthology considers the benefits to both the analytical laboratory and the user of the measurement results.
Results of measurements and conclusions derived from them constitute much of the technical information produced by the National Institute of Standards and Technology (NIST). In July 1992 the Director of NIST appointed an Ad Hoc Committee on Uncertainty Statements and charged it with recommending a policy on this important topic. The Committee concluded that the CIPM approach could be used to provide quantitative expression of measurement that would satisfy NIST¿s customers¿ requirements. NIST initially published a Technical Note on this issue in Jan. 1993. This 1994 edition addresses the most important questions raised by recipients concerning some of the points it addressed and some it did not. Illustrations.
Increasing requirements to conform to international standards for quality assurance, such as ISO 17025, are driving a need for appropriate methods for the estimation of measurement uncertainty throughout the chemical industry. This volume provides specific insights on measurement uncertainty causal factors and how they are addressed for chemical measurement systems. It includes practical examples that illustrate uncertainty estimation in a manner compliant with the Guide to the Expression of Uncertainty in Measurement (GUM). Chapters on the uncertainty of sampling and interpreting uncertainties in a compliance situation are included.
Quantification, Validation and Uncertainty in Analytical Sciences Companion guide explaining all processes in measuring uncertainty in quantitative analytical results Quantification, Validation and Uncertainty in Analytical Sciences provides basic and expert knowledge by building on the sequence of operations starting from the quantification in analytical sciences by defining the analyte and linking it to the calibration function. Proposing a comprehensive approach to MU (Measurement Uncertainty) estimation, it empowers the reader to apply Method Accuracy Profile (MAP) efficiently as a statistical tool in measuring uncertainty. The text elucidates several examples and template worksheets explaining the theoretical aspects of the procedure and includes novel method validation procedures that can accurately estimate the data obtained in measurements. It also enables the reader to provide practical insights to improve decision making by accurately evaluating and comparing different analytical methods. Brings together an interdisciplinary approach with statistical tools and algorithms applied in analytical chemistry and written by two international experts with long-standing experience in the field of Analytical measurements and Uncertainty, Quantification, Validation and Uncertainty in Analytical Sciences includes information on: The know-how of methods in an analytical laboratory, effective usage of a spurious measurement and methods to estimate errors. Quantification, calibration, precision, trueness, MAP addons, estimating MU for analytical sciences, and uncertainty functions Employing measurement uncertainty, sampling uncertainty, quantification limits, and sample conformity assessment Decision making, uncertainty and standard addition method, and accuracy profile for method comparison Quantification, Validation and Uncertainty in Analytical Sciences is an ideal resource for every individual quantifying or studying analytes. With several chapters dedicated to MU’s practical use in decision making demonstrating its advantages, the book is primarily intended for professional analysts, although researchers and students will also find it of interest.
The uncertainty of measurement results is drawing attention of managers, metrologists and customers. The accuracy of measurements affects all of us in trade, commerce, safety, health care environmental protection and more. The quality of these measurements are regulated by a variety of government agencies. Measurement also plays an important role in manufacturing and service organizations. Use this book to learn more about metrology and the need for reliable measurements. You can also learn about measurement system and quality of measurement systems, objectives and methods. Statistical techniques in metrology are also explained. Examples of measurement data and random variables, probability density functions, sampling distribution, statistical estimation degrees of freedom and regression are included. An entire chapter is devoted to measurement errors. The book goes in-depth into explaining national and international measurement systems and standards, and includes a complete chapter on calibration and measurement trace ability. Measurement Uncertainty will show how to evaluate various uncertainties in measurements using several approaches including international consensus. Calibration laboratories can look specifically at the chapter on that profession to guide them in their measurement improvements. Kimothi also looks at specific industries and their measurement capabilities and includes examples of R&R studies. A great resource for the CQE, CQT, CCT, CSSBB certification exams!
