Combining and Reporting Analytical Results

Combining and Reporting Analytical Results
Author: Maria Belli
Publisher: Royal Society of Chemistry
Total Pages: 325
Release: 2007-10-31
Genre: Science
ISBN: 1847557589

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Reliable and metrologically comparable results of quantitative analytical methods are essential to assure that decisions taken on their basis have meaning and context. Problems with combining measurement results, calculating their uncertainties and establishing metrological traceability can prove complicated and ambiguous for measurement scientists. Combining and Reporting Analytical Results discusses in detail the problems faced by scientists, and presents a variety of approaches across biological, chemical and environmental sciences to resolving these types of issues. Topics include: validated methods of analysis; application of internal quality control procedures; participation in proficiency testing schemes; metrological traceability of measurement results and associated uncertainties, as well as some quality system issues and formal accreditation. Written by leading experts, and with worked examples and illustrations throughout, this invaluable reference source is ideal for analysts from various scientific fields.

Federal Statistics, Multiple Data Sources, and Privacy Protection

Federal Statistics, Multiple Data Sources, and Privacy Protection
Author: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Total Pages: 195
Release: 2018-01-27
Genre: Social Science
ISBN: 0309465370

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The environment for obtaining information and providing statistical data for policy makers and the public has changed significantly in the past decade, raising questions about the fundamental survey paradigm that underlies federal statistics. New data sources provide opportunities to develop a new paradigm that can improve timeliness, geographic or subpopulation detail, and statistical efficiency. It also has the potential to reduce the costs of producing federal statistics. The panel's first report described federal statistical agencies' current paradigm, which relies heavily on sample surveys for producing national statistics, and challenges agencies are facing; the legal frameworks and mechanisms for protecting the privacy and confidentiality of statistical data and for providing researchers access to data, and challenges to those frameworks and mechanisms; and statistical agencies access to alternative sources of data. The panel recommended a new approach for federal statistical programs that would combine diverse data sources from government and private sector sources and the creation of a new entity that would provide the foundational elements needed for this new approach, including legal authority to access data and protect privacy. This second of the panel's two reports builds on the analysis, conclusions, and recommendations in the first one. This report assesses alternative methods for implementing a new approach that would combine diverse data sources from government and private sector sources, including describing statistical models for combining data from multiple sources; examining statistical and computer science approaches that foster privacy protections; evaluating frameworks for assessing the quality and utility of alternative data sources; and various models for implementing the recommended new entity. Together, the two reports offer ideas and recommendations to help federal statistical agencies examine and evaluate data from alternative sources and then combine them as appropriate to provide the country with more timely, actionable, and useful information for policy makers, businesses, and individuals.

Measurement Uncertainty in Chemical Analysis

Measurement Uncertainty in Chemical Analysis
Author: Paul De Bièvre
Publisher: Springer Science & Business Media
Total Pages: 294
Release: 2013-06-29
Genre: Science
ISBN: 3662051737

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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.

Transit Journal

Transit Journal
Author:
Publisher:
Total Pages: 1400
Release: 1912
Genre:
ISBN:

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Electric Railway Journal

Electric Railway Journal
Author:
Publisher:
Total Pages: 1372
Release: 1912
Genre: Electric railroads
ISBN:

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Report

Report
Author: Pennsylvania State University
Publisher:
Total Pages: 554
Release: 1902
Genre:
ISBN:

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