An Introduction to Uncertainty in Measurement PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download An Introduction to Uncertainty in Measurement PDF full book. Access full book title An Introduction to Uncertainty in Measurement by L. Kirkup. Download full books in PDF and EPUB format.
Author: L. Kirkup
Publisher: Cambridge University Press
ISBN: 1139454900
Category : Science
Languages : en
Pages : 196
Get Book Here
Book Description
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.
Author: L. Kirkup
Publisher: Cambridge University Press
ISBN: 1139454900
Category : Science
Languages : en
Pages : 196
Get Book Here
Book Description
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.
Author: Ronald H. Dieck
Publisher: ISA
ISBN: 9781556179150
Category : Mathematics
Languages : en
Pages : 292
Get Book Here
Book Description
Literally an entire course between two covers, Measurement Uncertainty: Methods and Applications, Fourth Edition, presents engineering students with a comprehensive tutorial of measurement uncertainty methods in a logically categorized and readily utilized format. The new uncertainty technologies embodied in both U.S. and international standards have been incorporated into this text with a view toward understanding the strengths and weaknesses of both. The book is designed to also serve as a practical desk reference in situations that commonly confront an experimenter. The text presents the basics of the measurement uncertainty model, non-symmetrical systematic standard uncertainties, random standard uncertainties, the use of correlation, curve-fitting problems, and probability plotting, combining results from different test methods, calibration errors, and uncertainty propagation for both independent and dependent error sources. The author draws on years of experience in industry to direct special attention to the problem of developing confidence in uncertainty analysis results and using measurement uncertainty to select instrumentation systems.
Author: Simona Salicone
Publisher: Springer Science & Business Media
ISBN: 0387463283
Category : Mathematics
Languages : en
Pages : 235
Get Book Here
Book Description
The expression of uncertainty in measurement poses a challenge since it involves physical, mathematical, and philosophical issues. This problem is intensified by the limitations of the probabilistic approach used by the current standard (the GUM Instrumentation Standard). This text presents an alternative approach. It makes full use of the mathematical theory of evidence to express the uncertainty in measurements. Coverage provides an overview of the current standard, then pinpoints and constructively resolves its limitations. Numerous examples throughout help explain the book’s unique approach.
Author: Eurachem/CITAC Working Group
Publisher:
ISBN: 9780948926150
Category : Chemistry, Analytic
Languages : en
Pages : 120
Get Book Here
Book Description
Author: Barry N. Taylor
Publisher: DIANE Publishing
ISBN: 1437915566
Category : Science
Languages : en
Pages : 25
Get Book Here
Book Description
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.
Author: Joel P. Dunsmore
Publisher: John Wiley & Sons
ISBN: 111839125X
Category : Technology & Engineering
Languages : en
Pages : 620
Get Book Here
Book Description
This book provides state-of-the-art coverage for making measurements on RF and Microwave Components, both active and passive. A perfect reference for R&D and Test Engineers, with topics ranging from the best practices for basic measurements, to an in-depth analysis of errors, correction methods, and uncertainty analysis, this book provides everything you need to understand microwave measurements. With primary focus on active and passive measurements using a Vector Network Analyzer, these techniques and analysis are equally applicable to measurements made with Spectrum Analyzers or Noise Figure Analyzers. The early chapters provide a theoretical basis for measurements complete with extensive definitions and descriptions of component characteristics and measurement parameters. The latter chapters give detailed examples for cases of cable, connector and filter measurements; low noise, high-gain and high power amplifier measurements, a wide range of mixer and frequency converter measurements, and a full examination of fixturing, de-embedding, balanced measurements and calibration techniques. The chapter on time-domain theory and measurements is the most complete treatment on the subject yet presented, with details of the underlying mathematics and new material on time domain gating. As the inventor of many of the methods presented, and with 30 years as a development engineer on the most modern measurement platforms, the author presents unique insights into the understanding of modern measurement theory. Key Features: Explains the interactions between the device-under-test (DUT) and the measuring equipment by demonstrating the best practices for ascertaining the true nature of the DUT, and optimizing the time to set up and measure Offers a detailed explanation of algorithms and mathematics behind measurements and error correction Provides numerous illustrations (e.g. block-diagrams for circuit connections and measurement setups) and practical examples on real-world devices, which can provide immediate benefit to the reader Written by the principle developer and designer of many of the measurement methods described This book will be an invaluable guide for RF and microwave R&D and test engineers, satellite test engineers, radar engineers, power amplifier designers, LNA designers, and mixer designers. University researchers and graduate students in microwave design and test will also find this book of interest.
Author: S. V. Gupta
Publisher: Springer Science & Business Media
ISBN: 3642209890
Category : Technology & Engineering
Languages : en
Pages : 336
Get Book Here
Book Description
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.
Author: Ifan Hughes
Publisher: OUP Oxford
ISBN: 0191576565
Category : Science
Languages : en
Pages : 153
Get Book Here
Book Description
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.
Author: Blair D Hall
Publisher:
ISBN: 9780473405823
Category : Measurement uncertainty (Statistics)
Languages : en
Pages :
Get Book Here
Book Description
"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.
Author: Robin Willink
Publisher: Cambridge University Press
ISBN: 113961990X
Category : Science
Languages : en
Pages : 295
Get Book Here
Book Description
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.
