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Author: Maria Belli Publisher: Royal Society of Chemistry ISBN: 1847557589 Category : Science Languages : en Pages : 325
Book Description
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.
Author: Maria Belli Publisher: Royal Society of Chemistry ISBN: 1847557589 Category : Science Languages : en Pages : 325
Book Description
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.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309465370 Category : Social Science Languages : en Pages : 195
Book Description
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.
Author: Geoff Cumming Publisher: Routledge ISBN: 1136659188 Category : Psychology Languages : en Pages : 549
Book Description
This is the first book to introduce the new statistics - effect sizes, confidence intervals, and meta-analysis - in an accessible way. It is chock full of practical examples and tips on how to analyze and report research results using these techniques. The book is invaluable to readers interested in meeting the new APA Publication Manual guidelines by adopting the new statistics - which are more informative than null hypothesis significance testing, and becoming widely used in many disciplines. Accompanying the book is the Exploratory Software for Confidence Intervals (ESCI) package, free software that runs under Excel and is accessible at www.thenewstatistics.com. The book’s exercises use ESCI's simulations, which are highly visual and interactive, to engage users and encourage exploration. Working with the simulations strengthens understanding of key statistical ideas. There are also many examples, and detailed guidance to show readers how to analyze their own data using the new statistics, and practical strategies for interpreting the results. A particular strength of the book is its explanation of meta-analysis, using simple diagrams and examples. Understanding meta-analysis is increasingly important, even at undergraduate levels, because medicine, psychology and many other disciplines now use meta-analysis to assemble the evidence needed for evidence-based practice. The book’s pedagogical program, built on cognitive science principles, reinforces learning: Boxes provide "evidence-based" advice on the most effective statistical techniques. Numerous examples reinforce learning, and show that many disciplines are using the new statistics. Graphs are tied in with ESCI to make important concepts vividly clear and memorable. Opening overviews and end of chapter take-home messages summarize key points. Exercises encourage exploration, deep understanding, and practical applications. This highly accessible book is intended as the core text for any course that emphasizes the new statistics, or as a supplementary text for graduate and/or advanced undergraduate courses in statistics and research methods in departments of psychology, education, human development , nursing, and natural, social, and life sciences. Researchers and practitioners interested in understanding the new statistics, and future published research, will also appreciate this book. A basic familiarity with introductory statistics is assumed.
Author: Publisher: CRC Press ISBN: 142008271X Category : Science Languages : en Pages : 250
Book Description
A Practical Tool for Learning New Methods Quality assurance and measurement uncertainty in analytical laboratories has become increasingly important. To meet increased scrutiny and keep up with new methods, practitioners very often have to rely on self-study. A practical textbook for students and a self-study tool for analytical laboratory employees, Quality Assurance and Quality Control in the Analytical Chemical Laboratory: A Practical Approach defines the tools used in QA/QC, especially the application of statistical tools during analytical data treatment. Unified Coverage of QA in Analytical Chemistry Clearly written and logically organized, this book delineates the concepts of practical QA/QC, taking a generic approach that can be applied to any field of analysis. Using an approach grounded in hands-on experience, the book begins with the theory behind quality control systems and then moves on to discuss examples of tools such as validation parameter measurements, the use of statistical tests, counting the margin of error, and estimating uncertainty. The authors draw on their experience in uncertainty estimation, traceability, reference materials, statistics, proficiency tests, and method validation to provide practical guidance on each step of the process. Extended Coverage of QC/QA in Analytical and Testing Laboratories Presenting guidance on all aspects of QA and measurement results, the book covers QC/QA in a more complex and extended manner than other books on this topic. This range of coverage supplies an integrated view on measures like the use of reference materials and method validation. With worked-out examples and Excel spreadsheets that users can use to try the concepts themselves, the book provides not only know-what but know-how.
Author: Maria Belli
Author: Maria Belli
Author: National Academies of Sciences, Engineering, and Medicine
Author: Geoff Cumming
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Author: Charles William Foulk
Author: Kansas
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Author: United States. Farm Credit Administration
Author: Notger G. Müller