Errors in Practical Measurement in Science, Engineering, and Technology
Errors in Practical Measurement in Science, Engineering, and Technology

Author: B. Austin Barry

Publisher:

Published: 1978-09-20

Total Pages: 208

ISBN-13:

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Covers all the elements of statistical error analysis in measurement. A step-by-step presentation of how random errors occur when taking measurements, how these errors behave, how measurement errors can be used to determine the reliability of the values, and how to accord weights to different measurements of the same quantity. Provides several appendices including a Frequency Distribution Tabulation Sheet and Arithmetic Probability Paper—two items intended for photocopying.

Measurement Errors and Uncertainties
Measurement Errors and Uncertainties

Author: Semyon G. Rabinovich

Publisher: Springer Science & Business Media

Published: 2006-12-26

Total Pages: 313

ISBN-13: 0387291431

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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.

Measurement Uncertainties in Science and Technology
Measurement Uncertainties in Science and Technology

Author: Michael Grabe

Publisher: Springer Science & Business Media

Published: 2005-03-10

Total Pages: 296

ISBN-13: 9783540209447

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In this book, Grabe illustrates the breakdown of traditional error calculus in the face of modern measurement techniques. Revising Gauß` error calculus ab initio, he treats random and unknown systematic errors on an equal footing from the outset. Furthermore, Grabe also proposes what may be called well defined measuring conditions, a prerequisite for defining confidence intervals that are consistent with basic statistical concepts. The resulting measurement uncertainties are as robust and reliable as required by modern-day science, engineering and technology.

Error and Uncertainty in Scientific Practice
Error and Uncertainty in Scientific Practice

Author: Marcel Boumans

Publisher: Routledge

Published: 2014

Total Pages: 0

ISBN-13: 9781848934160

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Assessment of error and uncertainty is a vital component of both natural and social science. Empirical research involves dealing with all kinds of errors and uncertainties, yet there is significant variance in how such results are dealt with. Contributors to this volume present case studies of research practices across a wide spectrum of scientific fields, including experimental physics, econometrics, environmental science, climate science, engineering, measurement science and statistics. They compare methodologies and present the ingredients needed for an overarching framework applicable to all --

Measurements and their Uncertainties
Measurements and their Uncertainties

Author: Ifan Hughes

Publisher: OUP Oxford

Published: 2010-07-02

Total Pages: 152

ISBN-13: 0191576565

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This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering. It assumes no prior knowledge of statistics. It introduces the necessary concepts where needed, with key points illustrated with worked examples and graphic illustrations. In contrast to traditional mathematical treatments it uses a combination of spreadsheet and calculus-based approaches, suitable as a quick and easy on-the-spot reference. The emphasis throughout is on practical strategies to be adopted in the laboratory. Error analysis is introduced at a level accessible to school leavers, and carried through to research level. Error calculation and propagation is presented though a series of rules-of-thumb, look-up tables and approaches amenable to computer analysis. The general approach uses the chi-square statistic extensively. Particular attention is given to hypothesis testing and extraction of parameters and their uncertainties by fitting mathematical models to experimental data. Routines implemented by most contemporary data analysis packages are analysed and explained. The book finishes with a discussion of advanced fitting strategies and an introduction to Bayesian analysis.

Construction Measurements
Construction Measurements

Author: B. Austin Barry

Publisher: John Wiley & Sons

Published: 1991-01-16

Total Pages: 372

ISBN-13: 9780471836636

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Errors in Practical Measurement in Science, Engineering, and Technology B. Austin Barry A step-by-step presentation of how random errors occur when taking measurements, how these errors behave, how measurement errors can be used to determine the reliability of the values, and how to accord weights to different measurements of the same quantity. Introduces the concept of percentage compliance with a demand specification, discusses practical plotting of frequency distribution curves, offers tables of areas beneath the normal curve to assist in formulating the validity of measurements, and provides basic information of the probability ellipse for two-dimensional errors. Appendices contain a review and reference of significant figures, complete information for writing a specification for a procedure, suggestions for the use of a Fortran program, and more. 1978 (0 471-03156-9) 183 pp.

Measurement Error and Research Design
Measurement Error and Research Design

Author: Madhu Viswanathan

Publisher: SAGE

Published: 2005-02-10

Total Pages: 460

ISBN-13: 9781412906425

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"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.

Evaluating Measurement Accuracy
Evaluating Measurement Accuracy

Author: Semyon G. Rabinovich

Publisher: Springer Science & Business Media

Published: 2009-12-11

Total Pages: 278

ISBN-13: 1441914560

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"Evaluating Measurement Accuracy" is intended for anyone who is concerned with measurements in any field of science or technology. It reflects the latest developments in metrology and offers new results, but is designed to be accessible to readers at different levels: meteorologists, engineers and experimental scientists who use measurements as tools in their professions, graduate and undergraduate students in the natural sciences and engineering, and technicians performing complex measurements in industry, quality control, and trade. The material of the book is presented from the practical perspective and offers solutions and recommendations for problems that arise in conducting real-life measurements. This inclusion is a notable and unique aspect of this title as complex measurements done in industry and trade are often neglected in metrological literature, leaving the practitioners of these measurements to devise their own ad-hoc techniques.

Evaluating Measurement Accuracy
Evaluating Measurement Accuracy

Author: Semyon G. Rabinovich

Publisher: Springer

Published: 2017-09-05

Total Pages: 329

ISBN-13: 3319601253

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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.