Experimenting With Uncertainty
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Author | : Supreet Singh Bahga |
Publisher | : Supreet Singh Bahga |
Total Pages | : 186 |
Release | : 2021-07-06 |
Genre | : Technology & Engineering |
ISBN | : 1636402321 |
Uncertainties are inevitable in any experimental measurement. Therefore, it is essential for science and engineering graduates to design and develop reliable experiments and estimate the uncertainty in the measurements. This book describes the methods and application of uncertainty analysis during the planning, data analysis, and reporting stages of an experiment. This book is aimed at postgraduate and advanced undergraduate students of various branches of science and engineering. The book teaches methods for estimating random and systematic uncertainties and combining them to determine the overall uncertainty in a measurement. In addition, the method for propagating measurement uncertainties in the calculated result is discussed. The book also discusses methods of reducing the uncertainties through proper instrumentation, data acquisition, and experiment planning. This book provides detailed background and assumptions underlying the uncertainty analysis techniques for the reader to understand their applicability. Various solved examples are provided to demonstrate the application of the uncertainty analysis techniques. The exercises at the end of the chapters have been chosen carefully to reinforce the concepts discussed in the text.
Author | : C. Elder |
Publisher | : Cambridge University Press |
Total Pages | : 366 |
Release | : 2001-05-21 |
Genre | : Foreign Language Study |
ISBN | : 0521772540 |
A collection of 28 invited papers surveying the state of the art in language testing.
Author | : Hugh W. Coleman |
Publisher | : John Wiley & Sons |
Total Pages | : 404 |
Release | : 2018-04-09 |
Genre | : Technology & Engineering |
ISBN | : 1119417708 |
Helps engineers and scientists assess and manage uncertainty at all stages of experimentation and validation of simulations Fully updated from its previous edition, Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes expanded coverage and new examples of applying the Monte Carlo Method (MCM) in performing uncertainty analyses. Presenting the current, internationally accepted methodology from ISO, ANSI, and ASME standards for propagating uncertainties using both the MCM and the Taylor Series Method (TSM), it provides a logical approach to experimentation and validation through the application of uncertainty analysis in the planning, design, construction, debugging, execution, data analysis, and reporting phases of experimental and validation programs. It also illustrates how to use a spreadsheet approach to apply the MCM and the TSM, based on the authors’ experience in applying uncertainty analysis in complex, large-scale testing of real engineering systems. Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition includes examples throughout, contains end of chapter problems, and is accompanied by the authors’ website www.uncertainty-analysis.com. Guides readers through all aspects of experimentation, validation, and uncertainty analysis Emphasizes the use of the Monte Carlo Method in performing uncertainty analysis Includes complete new examples throughout Features workable problems at the end of chapters Experimentation, Validation, and Uncertainty Analysis for Engineers, Fourth Edition is an ideal text and guide for researchers, engineers, and graduate and senior undergraduate students in engineering and science disciplines. Knowledge of the material in this Fourth Edition is a must for those involved in executing or managing experimental programs or validating models and simulations.
Author | : Hugh W. Coleman |
Publisher | : John Wiley & Sons |
Total Pages | : 298 |
Release | : 1999 |
Genre | : Psychology |
ISBN | : 9780471121466 |
Now, in the only manual available with direct applications to the design and analysis of engineering experiments, respected authors Hugh Coleman and Glenn Steele have thoroughly updated their bestselling title to include the new methodologies being used by the United States and International standards committee groups.
Author | : L. Kirkup |
Publisher | : Cambridge University Press |
Total Pages | : 196 |
Release | : 2006-06-01 |
Genre | : Science |
ISBN | : 1139454900 |
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 | : Claude Diderich |
Publisher | : Springer Nature |
Total Pages | : 220 |
Release | : 2019-10-01 |
Genre | : Mathematics |
ISBN | : 3030258750 |
The business environment is changing more rapidly than ever before, and new business ideas are emerging. This book discusses applying insights from design thinking to craft novel strategies that satisfy customer needs, make use of the available capabilities, integrate requirements for financial success and provide competitive advantage. It guides readers through the jungle encountered when developing a strategy for sustained growth and profitability. It addresses strategy design in a holistic way by applying abductive reasoning, iteratively observing customers and focusing on empathy, as well as prototyping ideas and using customers to validate them. Uniquely applying insights from design thinking to strategy, this book is a must-read for graduates, MBAs and executives interested in innovation and strategy, as well as corporate strategists, innovation managers, business analysts and consultants.
Author | : John Robert Taylor |
Publisher | : Univ Science Books |
Total Pages | : 327 |
Release | : 1997-01-01 |
Genre | : Mathematics |
ISBN | : 9780935702422 |
Problems after each chapter
Author | : Dennis V. Lindley |
Publisher | : John Wiley & Sons |
Total Pages | : 268 |
Release | : 2006-08-28 |
Genre | : Mathematics |
ISBN | : 0470055472 |
A lively and informal introduction to the role of uncertainty and probability in people's lives from an everyday perspective From television game shows and gambling techniques to weather forecasting and the financial markets, virtually every aspect of modern life involves situations in which the outcomes are uncertain and of varying qualities. But as noted statistician Dennis Lindley writes in this distinctive text, "We want you to face up to uncertainty, not hide it away under false concepts, but to understand it and, moreover, to use the recent discoveries so that you can act in the face of uncertainty more sensibly than would have been possible without the skill." Accessibly written at an elementary level, this outstanding text examines uncertainty in various everyday situations and introduces readers to three rules--craftily laid out in the book--that prove uncertainty can be handled with as much confidence as ordinary logic. Combining a concept of utility with probability, the book insightfully demonstrates how uncertainty can be measured and used in everyday life, especially in decision-making and science. With a focus on understanding and using probability calculations, Understanding Uncertainty demystifies probability and: * Explains in straightforward detail the logic of uncertainty, its truths, and its falsehoods * Explores what has been learned in the twentieth century about uncertainty * Provides a logical, sensible method for acting in the face of uncertainty * Presents vignettes of great discoveries made in the twentieth century * Shows readers how to discern if another person--whether a lawyer, politician, scientist, or journalist--is talking sense, posing the right questions, or obtaining sound answers Requiring only a basic understanding of mathematical concepts and operations, Understanding Uncertainty is useful as a text for all students who have probability or statistics as part of their course, even at the most introductory level.
Author | : David Lindley |
Publisher | : Anchor |
Total Pages | : 274 |
Release | : 2008-02-12 |
Genre | : Science |
ISBN | : 0307389480 |
The gripping, entertaining, and vividly-told narrative of a radical discovery that sent shockwaves through the scientific community and forever changed the way we understand the world. Werner Heisenberg’s “uncertainty principle” challenged centuries of scientific understanding, placed him in direct opposition to Albert Einstein, and put Niels Bohr in the middle of one of the most heated debates in scientific history. Heisenberg’s theorem stated that there were physical limits to what we could know about sub-atomic particles; this “uncertainty” would have shocking implications. In a riveting and lively account, David Lindley captures this critical episode and explains one of the most important scientific discoveries in history, which has since transcended the boundaries of science and influenced everything from literary theory to television.
Author | : Paul W. Glimcher |
Publisher | : MIT Press |
Total Pages | : 404 |
Release | : 2004-09-17 |
Genre | : Medical |
ISBN | : 9780262572279 |
In this provocative book, Paul Glimcher argues that economic theory may provide an alternative to the classical Cartesian model of the brain and behavior. Glimcher argues that Cartesian dualism operates from the false premise that the reflex is able to describe behavior in the real world that animals inhabit. A mathematically rich cognitive theory, he claims, could solve the most difficult problems that any environment could present, eliminating the need for dualism by eliminating the need for a reflex theory. Such a mathematically rigorous description of the neural processes that connect sensation and action, he explains, will have its roots in microeconomic theory. Economic theory allows physiologists to define both the optimal course of action that an animal might select and a mathematical route by which that optimal solution can be derived. Glimcher outlines what an economics-based cognitive model might look like and how one would begin to test it empirically. Along the way, he presents a fascinating history of neuroscience. He also discusses related questions about determinism, free will, and the stochastic nature of complex behavior.