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Book Estimation of a Correlation Coefficient from an Uncertainty Measure

Download or read book Estimation of a Correlation Coefficient from an Uncertainty Measure written by William H. Pearson and published by . This book was released on 1966 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Estimation of a Correlation Coefficient from an Uncertainty Measure

Download or read book Estimation of a Correlation Coefficient from an Uncertainty Measure written by William H. Pearson and published by . This book was released on 1966 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Particle Image Velocimetry

    Book Details:
  • Author : Ronald J. Adrian
  • Publisher : Cambridge University Press
  • Release : 2011
  • ISBN : 0521440084
  • Pages : 585 pages

Download or read book Particle Image Velocimetry written by Ronald J. Adrian and published by Cambridge University Press. This book was released on 2011 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: Particle image velocimetry, or PIV, refers to a class of methods used in experimental fluid mechanics to determine instantaneous fields of the vector velocity by measuring the displacements of numerous fine particles that accurately follow the motion of the fluid. Although the concept of measuring particle displacements is simple in essence, the factors that need to be addressed to design and implement PIV systems that achieve reliable, accurate, and fast measurements and to interpret the results are surprisingly numerous. The aim of this book is to analyze and explain them comprehensively.

Book Measurement Errors and Uncertainties

Download or read book Measurement Errors and Uncertainties written by Semyon G. Rabinovich and published by Springer Science & Business Media. This book was released on 2006-12-26 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: A practical reference on theory and methods of estimating measurement errors and uncertainty for both scientists and engineers in industry and experimental research. Building on the fundamentals of measurement theory, this book offers a wealth of practial recommendations and procedures. It differs from the majority of books in that it balances coverage of probabilistic methods with detailed information on the characterization, calibration, standardization and limitations of measuring instruments, with specific examples from both electrical and mechanical systems. In addition to a general updating to reflect current research, new material in this edition includes increased coverage of indirect measurements, with a new, simpler, more efficient method for this class of measurements.

Book Robust Correlation

    Book Details:
  • Author : Georgy L. Shevlyakov
  • Publisher : John Wiley & Sons
  • Release : 2016-08-02
  • ISBN : 1119264537
  • Pages : 352 pages

Download or read book Robust Correlation written by Georgy L. Shevlyakov and published by John Wiley & Sons. This book was released on 2016-08-02 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bookpresents material on both the analysis of the classical concepts of correlation and on the development of their robust versions, as well as discussing the related concepts of correlation matrices, partial correlation, canonical correlation, rank correlations, with the corresponding robust and non-robust estimation procedures. Every chapter contains a set of examples with simulated and real-life data. Key features: Makes modern and robust correlation methods readily available and understandable to practitioners, specialists, and consultants working in various fields. Focuses on implementation of methodology and application of robust correlation with R. Introduces the main approaches in robust statistics, such as Huber’s minimax approach and Hampel’s approach based on influence functions. Explores various robust estimates of the correlation coefficient including the minimax variance and bias estimates as well as the most B- and V-robust estimates. Contains applications of robust correlation methods to exploratory data analysis, multivariate statistics, statistics of time series, and to real-life data. Includes an accompanying website featuring computer code and datasets Features exercises and examples throughout the text using both small and large data sets. Theoretical and applied statisticians, specialists in multivariate statistics, robust statistics, robust time series analysis, data analysis and signal processing will benefit from this book. Practitioners who use correlation based methods in their work as well as postgraduate students in statistics will also find this book useful.

Book Measurement Uncertainty

Download or read book Measurement Uncertainty written by Ronald H. Dieck and published by . This book was released on 1997 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Evaluating the Measurement Uncertainty

Download or read book Evaluating the Measurement Uncertainty written by I Lira and published by CRC Press. This book was released on 2002-04-09 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is now widely recognized that measurement data should be properly analyzed to include an assessment of their associated uncertainty. Since this parameter allows for a meaningful comparison of the measurement results and for an evaluation of their reliability, its expression is important not only in the specialized field of scientific metrology, but also in industry, trade, and commerce. General rules for evaluating and expressing the uncertainty are given in the internationally accepted ISO Guide to the Expression of Uncertainty in Measurement, generally known as the GUM. Evaluating the Measurement Uncertainty details the theoretical framework on which the GUM is based and provides additional material on more advanced topics such as least-squares adjustment and Bayesian statistics. The book does not require previous knowledge other than elementary calculus and can be read as a complement to the GUM or as a stand-alone reference source. It stresses fundamental principles and illustrates their applications through numerous examples taken from many different fields of metrology. The book includes practical guidance as well as theoretical aspects, resulting in an invaluable resource for metrologists, engineers, physicists, and graduate students involved with measurements in academia and industry.

Book The Uncertainty Analysis of Model Results

Download or read book The Uncertainty Analysis of Model Results written by Eduard Hofer and published by Springer. This book was released on 2018-05-02 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a practical guide to the uncertainty analysis of computer model applications. Used in many areas, such as engineering, ecology and economics, computer models are subject to various uncertainties at the level of model formulations, parameter values and input data. Naturally, it would be advantageous to know the combined effect of these uncertainties on the model results as well as whether the state of knowledge should be improved in order to reduce the uncertainty of the results most effectively. The book supports decision-makers, model developers and users in their argumentation for an uncertainty analysis and assists them in the interpretation of the analysis results.

Book The Uncertainty of Measurements

Download or read book The Uncertainty of Measurements written by Shri Krishna Kimothi and published by Quality Press. This book was released on 2001-11-01 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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!

Book An Introduction to Uncertainty in Measurement

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 OAR

    OAR

    Book Details:
  • Author :
  • Publisher :
  • Release : 1967
  • ISBN :
  • Pages : 570 pages

Download or read book OAR written by and published by . This book was released on 1967 with total page 570 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Evaluating Measurement Accuracy

Download or read book Evaluating Measurement Accuracy written by Semyon G. Rabinovich and published by Springer. This book was released on 2017-09-05 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a systematic and comprehensive exposition of the theory of measurement accuracy and provides solutions that fill significant and long-standing gaps in the classical theory. It eliminates the shortcomings of the classical theory by including methods for estimating accuracy of single measurements, the most common type of measurement. The book also develops methods of reduction and enumeration for indirect measurements, which do not require Taylor series and produce a precise solution to this problem. It produces grounded methods and recommendations for summation of errors. The monograph also analyzes and critiques two foundation metrological documents, the International Vocabulary of Metrology (VIM) and the Guide to the Expression of Uncertainty in Measurement (GUM), and discusses directions for their revision. This new edition adds a step-by-step guide on how to evaluate measurement accuracy and recommendations on how to calculate systematic error of multiple measurements. There is also an extended section on the method of reduction, which provides an alternative to the least-square method and the method of enumeration. Many sections are also rewritten to improve the structure and usability of the material. The 3rd edition reflects the latest developments in metrology and offers new results, and it is designed to be accessible to readers at various levels and positions, including scientists, engineers, and undergraduate and graduate students. By presenting material from a practical perspective and offering solutions and recommendations for problems that arise in conducting real-life measurements, author Semyon Rabinovich offers an invaluable resource for scientists in any field.

Book Quantitative Environmental Risk Analysis for Human Health

Download or read book Quantitative Environmental Risk Analysis for Human Health written by Robert A. Fjeld and published by John Wiley & Sons. This book was released on 2023-08-29 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: QUANTITATIVE ENVIRONMENTAL RISK ANALYSIS FOR HUMAN HEALTH An updated edition of the foundational guide to environmental risk analysis Environmental risk analysis is a systematic process essential for the evaluation, management, and communication of the human health risk posed by the release of contaminants to the environment. Performed correctly, risk analysis is an essential tool in the protection of the public from the health hazards posed by chemical and radioactive contaminants. Cultivating the quantitative skills required to perform risk analysis competently is a critical need. Quantitative Environmental Risk Analysis for Human Health meets this need with a thorough, comprehensive coverage of the fundamental knowledge necessary to assess environmental impacts on human health. It introduces readers to a robust methodology for analyzing environmental risk, as well as to the fundamental principles of uncertainty analysis and the pertinent environmental regulations. Now updated to reflect the latest research and new cutting-edge methodologies, this is an essential contribution to the practice of environmental risk analysis. Readers of the second edition of Quantitative Environmental Risk Analysis for Human Health will also find: Detailed treatment of source and release characterization, contaminant migration, exposure assessment, and more New coverage of computer-based analytical methods A new chapter of case studies providing actual, real-world examples of environmental risk assessments Quantitative Environmental Risk Analysis for Human Health is must-have for graduate and advanced undergraduate students in civil engineering, environmental engineering, and environmental science, as well as for risk analysis practitioners in industry, environmental consultants, and regulators.

Book Greenhouse Gases

Download or read book Greenhouse Gases written by Guoxiang Liu and published by BoD – Books on Demand. This book was released on 2012-03-14 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding greenhouse gas sources, emissions, measurements, and management is essential for capture, utilization, reduction, and storage of greenhouse gas, which plays a crucial role in issues such as global warming and climate change. Taking advantage of the authors' experience in greenhouse gases, this book discusses an overview of recently developed techniques, methods, and strategies: - A comprehensive source investigation of greenhouse gases that are emitted from hydrocarbon reservoirs, vehicle transportation, agricultural landscapes, farms, non-cattle confined buildings, and so on. - Recently developed detection and measurement techniques and methods such as photoacoustic spectroscopy, landfill-based carbon dioxide and methane measurement, and miniaturized mass spectrometer.

Book Measuring Uncertainty within the Theory of Evidence

Download or read book Measuring Uncertainty within the Theory of Evidence written by Simona Salicone and published by Springer. This book was released on 2018-04-23 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph considers the evaluation and expression of measurement uncertainty within the mathematical framework of the Theory of Evidence. With a new perspective on the metrology science, the text paves the way for innovative applications in a wide range of areas. Building on Simona Salicone’s Measurement Uncertainty: An Approach via the Mathematical Theory of Evidence, the material covers further developments of the Random Fuzzy Variable (RFV) approach to uncertainty and provides a more robust mathematical and metrological background to the combination of measurement results that leads to a more effective RFV combination method. While the first part of the book introduces measurement uncertainty, the Theory of Evidence, and fuzzy sets, the following parts bring together these concepts and derive an effective methodology for the evaluation and expression of measurement uncertainty. A supplementary downloadable program allows the readers to interact with the proposed approach by generating and combining RFVs through custom measurement functions. With numerous examples of applications, this book provides a comprehensive treatment of the RFV approach to uncertainty that is suitable for any graduate student or researcher with interests in the measurement field.

Book Advances in Intrinsic Motivation and Aesthetics

Download or read book Advances in Intrinsic Motivation and Aesthetics written by Hy I. Day and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: It has been both a pleasure and an honor to edit this book. The pleasure has been in interacting with the gifted authors who wrote the chapters for this volume and the honor has been in knowing that the book is dedicated to a great man and a brilliant psychologist-Daniel E. Berlyne. All the contributors to this book have been touched, at some time, by Dan Berlyne and his ideas. Whether as his teachers, his colleages, his peers, his students, or his friends and arguing partners, we have all felt his presence and been improved by it. The list of contributors to this volume is large and could have been much larger, for a number of people, in fact, contacted me for the oppor tunity to contribute when they heard about the purpose of this book. It is also an international list, for Dan Berlyne's contacts were international. The diversity in content and style is also intentional. The authors were invited to contribute an original paper in the field in which they are presently engaged, whether theoretical or a report of empirical work, and to indicate the contribution that Dan Berlyne had made to their work. As the reader will note, contributions range from personal and contact in a laboratory to ideas that elicit controversy, argument, and intensive re search. Daniel Ellis Berlyne was born in Selford, England, a suburb of Man chester,in 1924, and died in Toronto, Canada, on November 2, 1976.

Book Measurement Uncertainties

Download or read book Measurement Uncertainties written by S. V. Gupta and published by Springer Science & Business Media. This book was released on 2012-01-13 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fulfills the global need to evaluate measurement results along with the associated uncertainty. In the book, together with the details of uncertainty calculations for many physical parameters, probability distributions and their properties are discussed. Definitions of various terms are given and will help the practicing metrologists to grasp the subject. The book helps to establish international standards for the evaluation of the quality of raw data obtained from various laboratories for interpreting the results of various national metrology institutes in an international inter-comparisons. For the routine calibration of instruments, a new idea for the use of pooled variance is introduced. The uncertainty calculations are explained for (i) independent linear inputs, (ii) non-linear inputs and (iii) correlated inputs. The merits and limitations of the Guide to the Expression of Uncertainty in Measurement (GUM) are discussed. Monte Carlo methods for the derivation of the output distribution from the input distributions are introduced. The Bayesian alternative for calculation of expanded uncertainty is included. A large number of numerical examples is included.