Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
An Introduction To Measurement Uncertainty
Download An Introduction To Measurement Uncertainty full books in PDF, epub, and Kindle. Read online An Introduction To Measurement Uncertainty ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis An Introduction to Measurement Uncertainty by : Blair D Hall
Download or read book An Introduction to Measurement Uncertainty written by Blair D Hall and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This introduction to measurement uncertainty is intended for metrology professionals working in calibration laboratories and metrology institutes, as well as students in tertiary-level science and engineering programmes. The subject matter is presented with an emphasis on developing models of the physical measurement process. The level of mathematics and statistics used is basic and is typically covered by high school studies"--Distributor's website.
Book Synopsis An Introduction to Uncertainty in Measurement by : L. Kirkup
Download or read book An Introduction to Uncertainty in Measurement written by L. Kirkup and published by Cambridge University Press. This book was released on 2006-06-01 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measurement shapes scientific theories, characterises improvements in manufacturing processes and promotes efficient commerce. In concert with measurement is uncertainty, and students in science and engineering need to identify and quantify uncertainties in the measurements they make. This book introduces measurement and uncertainty to second and third year students of science and engineering. Its approach relies on the internationally recognised and recommended guidelines for calculating and expressing uncertainty (known by the acronym GUM). The statistics underpinning the methods are considered and worked examples and exercises are spread throughout the text. Detailed case studies based on typical undergraduate experiments are included to reinforce the principles described in the book. This guide is also useful to professionals in industry who are expected to know the contemporary methods in this increasingly important area. Additional online resources are available to support the book at www.cambridge.org/9780521605793.
Book Synopsis An Introduction to Error Analysis by : John Robert Taylor
Download or read book An Introduction to Error Analysis written by John Robert Taylor and published by Univ Science Books. This book was released on 1997-01-01 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: Problems after each chapter
Book Synopsis Measurement Uncertainty in Chemical Analysis by : Paul De Bièvre
Download or read book Measurement Uncertainty in Chemical Analysis written by Paul De Bièvre and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results (rev. Ed. ) by : Barry N. Taylor
Download or read book Guidelines for Evaluating and Expressing the Uncertainty of NIST Measurement Results (rev. Ed. ) written by Barry N. Taylor and published by DIANE Publishing. This book was released on 2009-11 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Measurement Error and Research Design by : Madhu Viswanathan
Download or read book Measurement Error and Research Design written by Madhu Viswanathan and published by SAGE. This book was released on 2005-02-10 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.
Book Synopsis The Uncertainty in Physical Measurements by : Paolo Fornasini
Download or read book The Uncertainty in Physical Measurements written by Paolo Fornasini and published by Springer Science & Business Media. This book was released on 2008-09-18 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: The scienti c method is based on the measurement of di erent physical qu- tities and the search for relations between their values. All measured values of physical quantities are, however, a ected by uncertainty. Understanding the origin of uncertainty, evaluating its extent, and suitably taking it into account in data analysis, are fundamental steps for assessing the global accuracy of physical laws and the degree of reliability of their technological applications. The introduction to uncertainty evaluation and data analysis procedures is generally made in laboratory courses for freshmen. During my long-lasting teaching experience, I had the feeling of some sort of gap between the ava- able tutorial textbooks, and the specialized monographs. The present work aims at lling this gap, and has been tested and modi ed through a feedback interaction with my students for several years. I have tried to maintain as much as possible a tutorial approach, that, starting from a phenomenolo- cal introduction, progressively leads to an accurate de nition of uncertainty and to some of the most common procedures of data analysis, facilitating the access to advanced monographs. This book is mainly addressed to - dergraduate students, but can be a useful reference for researchers and for secondary school teachers. The book is divided into three parts and a series of appendices. Part I is devoted to a phenomenological introduction to measurement and uncertainty. In Chap.
Book Synopsis Vector Network Analyzer (VNA) Measurements and Uncertainty Assessment by : Nosherwan Shoaib
Download or read book Vector Network Analyzer (VNA) Measurements and Uncertainty Assessment written by Nosherwan Shoaib and published by Springer. This book was released on 2016-09-22 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes vector network analyzer measurements and uncertainty assessments, particularly in waveguide test-set environments, in order to establish their compatibility to the International System of Units (SI) for accurate and reliable characterization of communication networks. It proposes a fully analytical approach to measurement uncertainty evaluation, while also highlighting the interaction and the linear propagation of different uncertainty sources to compute the final uncertainties associated with the measurements. The book subsequently discusses the dimensional characterization of waveguide standards and the quality of the vector network analyzer (VNA) calibration techniques. The book concludes with an in-depth description of the novel verification artefacts used to assess the performance of the VNAs. It offers a comprehensive reference guide for beginners to experts, in both academia and industry, whose work involves the field of network analysis, instrumentation and measurements.
Book Synopsis Measurement Uncertainty and Probability by : Robin Willink
Download or read book Measurement Uncertainty and Probability written by Robin Willink and published by Cambridge University Press. This book was released on 2013-02-14 with total page 295 pages. Available in PDF, EPUB and Kindle. Book excerpt: A measurement result is incomplete without a statement of its 'uncertainty' or 'margin of error'. But what does this statement actually tell us? By examining the practical meaning of probability, this book discusses what is meant by a '95 percent interval of measurement uncertainty', and how such an interval can be calculated. The book argues that the concept of an unknown 'target value' is essential if probability is to be used as a tool for evaluating measurement uncertainty. It uses statistical concepts, such as a conditional confidence interval, to present 'extended' classical methods for evaluating measurement uncertainty. The use of the Monte Carlo principle for the simulation of experiments is described. Useful for researchers and graduate students, the book also discusses other philosophies relating to the evaluation of measurement uncertainty. It employs clear notation and language to avoid the confusion that exists in this controversial field of science.
Book Synopsis Quantifying Uncertainty in Analytical Measurement by : Eurachem/CITAC Working Group
Download or read book Quantifying Uncertainty in Analytical Measurement written by Eurachem/CITAC Working Group and published by . This book was released on 2000-01-01 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Measurement Errors by : S. G. Rabinovich
Download or read book Measurement Errors written by S. G. Rabinovich and published by American Institute of Physics. This book was released on 1995 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: "I suggest that every technical library should own a copy....Serious experimentalists whose interests are broad will surely want to examine the book with the intent of buying it." Applied Mechanics Review Explore the wide range of problems related to estimation of measurement errors--from the fundamentals of the theory to practical recommendations and procedures. Covers classical concepts of metrology, measuring instruments, calibration, and modern probability- based methods. The many suggestions and recommendations provided make this an ideal resource for graduate students, applied physicists, and engineers.
Book Synopsis Data and Error Analysis by : William Lichten
Download or read book Data and Error Analysis written by William Lichten and published by Addison-Wesley. This book was released on 1999 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the lab/experimentation course in physics depts. and/or any course in physics, chemistry, geology, etc. with a lab component focusing on data and error analysis. Designed to help science students process data without lengthy and boring computations, this text/disk package provides useful algorithms and programs that allow students to do analysis more quickly than was previously possible. Using a "learn by doing" approach, it provides simple, handy rules for handling data and estimating errors both by graphical and analytic methods without long discussions and involved theoretical derivations.
Book Synopsis Probability and Bayesian Modeling by : Jim Albert
Download or read book Probability and Bayesian Modeling written by Jim Albert and published by CRC Press. This book was released on 2019-12-06 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probability and Bayesian Modeling is an introduction to probability and Bayesian thinking for undergraduate students with a calculus background. The first part of the book provides a broad view of probability including foundations, conditional probability, discrete and continuous distributions, and joint distributions. Statistical inference is presented completely from a Bayesian perspective. The text introduces inference and prediction for a single proportion and a single mean from Normal sampling. After fundamentals of Markov Chain Monte Carlo algorithms are introduced, Bayesian inference is described for hierarchical and regression models including logistic regression. The book presents several case studies motivated by some historical Bayesian studies and the authors’ research. This text reflects modern Bayesian statistical practice. Simulation is introduced in all the probability chapters and extensively used in the Bayesian material to simulate from the posterior and predictive distributions. One chapter describes the basic tenets of Metropolis and Gibbs sampling algorithms; however several chapters introduce the fundamentals of Bayesian inference for conjugate priors to deepen understanding. Strategies for constructing prior distributions are described in situations when one has substantial prior information and for cases where one has weak prior knowledge. One chapter introduces hierarchical Bayesian modeling as a practical way of combining data from different groups. There is an extensive discussion of Bayesian regression models including the construction of informative priors, inference about functions of the parameters of interest, prediction, and model selection. The text uses JAGS (Just Another Gibbs Sampler) as a general-purpose computational method for simulating from posterior distributions for a variety of Bayesian models. An R package ProbBayes is available containing all of the book datasets and special functions for illustrating concepts from the book. A complete solutions manual is available for instructors who adopt the book in the Additional Resources section.
Book Synopsis Metrology in Chemistry by : Ewa Bulska
Download or read book Metrology in Chemistry written by Ewa Bulska and published by Springer. This book was released on 2018-09-29 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this concise book, the author presents the essentials every chemist needs to know about how to obtain reliable measurement results. Starting with the basics of metrology and the metrological infrastructure, all relevant topics – such as traceability, calibration, chemical reference materials, validation and uncertainty – are covered. In addition, key aspects of laboratory management, including quality management, inter-laboratory comparisons, proficiency testing, and accreditation, are addressed.
Book Synopsis Data Modeling for Metrology and Testing in Measurement Science by : Franco Pavese
Download or read book Data Modeling for Metrology and Testing in Measurement Science written by Franco Pavese and published by Springer Science & Business Media. This book was released on 2008-12-16 with total page 499 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods and focusing on techniques with a broad range of real-world applications. The book will be useful as a textbook for graduate students, or as a training manual in the fields of calibration and testing. The work may also serve as a reference for metrologists, mathematicians, statisticians, software engineers, chemists, and other practitioners with a general interest in measurement science.
Book Synopsis Information and Measurement, 2nd Edition by : J.C.G Lesurf
Download or read book Information and Measurement, 2nd Edition written by J.C.G Lesurf and published by CRC Press. This book was released on 2001-10-31 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information technology is arguably the most important scientific topic needed for understanding and participating in our increasingly complex technological world. Using simple physical arguments and extensive examples, Information and Measurement, Second Edition shows how this theory can be put into practice. Twice awarded the UK National Metrology Prize by the National Physical Laboratory for his outstanding contributions to measurement science and technology, the author includes the basic mathematical, physical, and engineering concepts required, illustrating their interrelationship in a clear, concise manner. The broad coverage includes topics taught in a variety of courses. This book will be an invaluable study aid for senior undergraduate and graduate students in physics, electrical engineering, and computer science, specifically studying instrumentation, measurement science, and information science. It will also be a useful reference for practicing scientists and engineers.
Book Synopsis Measurement Error by : John P. Buonaccorsi
Download or read book Measurement Error written by John P. Buonaccorsi and published by CRC Press. This book was released on 2010-03-02 with total page 465 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications provides an overview of the main techniques and illu