Author : Marcel Boumans
Publisher : Routledge
Page : 264 pages
File Size : 43,25 MB
Release : 2015-10-06
Category : History
ISBN : 1317319486
Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.
Author : Marcel Boumans
Publisher : Routledge
Page : 248 pages
File Size : 43,67 MB
Release : 2015-10-06
Category : History
ISBN : 1317319478
Assessment of error and uncertainty is a vital component of both natural and social science. This edited volume presents case studies of research practices across a wide spectrum of scientific fields. It compares methodologies and presents the ingredients needed for an overarching framework applicable to all.
Author : Semyon G. Rabinovich
Publisher : Springer Science & Business Media
Page : 313 pages
File Size : 30,52 MB
Release : 2006-12-26
Category : Technology & Engineering
ISBN : 0387291431
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.
Author : Faith A. Morrison
Publisher : Cambridge University Press
Page : 389 pages
File Size : 36,36 MB
Release : 2021-01-07
Category : Computers
ISBN : 1108478352
Build the skills for determining appropriate error limits for quantities that matter with this essential toolkit. Understand how to handle a complete project and how uncertainty enters into various steps. Provides a systematic, worksheet-based process to determine error limits on measured quantities, and all likely sources of uncertainty are explored, measured or estimated. Features instructions on how to carry out error analysis using Excel and MATLAB®, making previously tedious calculations easy. Whether you are new to the sciences or an experienced engineer, this useful resource provides a practical approach to performing error analysis. Suitable as a text for a junior or senior level laboratory course in aerospace, chemical and mechanical engineering, and for professionals.
Author : John Robert Taylor
Publisher : Univ Science Books
Page : 327 pages
File Size : 43,40 MB
Release : 1997-01-01
Category : Mathematics
ISBN : 9780935702422
Problems after each chapter
Author : Semyon G. Rabinovich
Publisher : Springer
Page : 0 pages
File Size : 20,7 MB
Release : 1999-12-24
Category : Technology & Engineering
ISBN : 9781475732566
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.
Author : Aaron Santiago Chavez
Publisher :
Page : 68 pages
File Size : 10,26 MB
Release : 2017
Category : Errors
ISBN :
This paper addresses the problem of accurately characterizing error under faulty material conditions. I argue that where there is an experimental setup whose reliability is gauged by measurement robustness and is simultaneously undermined by unbeknownst systematic material error, any inferences about the measurement outcomes of that particular setup are warranted. The only way to discount a measurement result as erroneous is to test its fit within a broader theoretical framework. Thus, it is not until theory is well-developed that we have epistemic justification for claiming that such a result is in error. In the following I discuss three cases in the history of science where measurement robustness is the operative metric for reliability, but where the results are products of error, thus leading to three different kinds of inferences in relation to theory: discovery of a new phenomenon against well-established theory, discovery of a new phenomenon against an underdeveloped theory, and discovery of a new phenomenon compatible or embeddable with existing theory.
Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
Page : 257 pages
File Size : 36,25 MB
Release : 2019-10-20
Category : Science
ISBN : 0309486165
One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Author : Ifan Hughes
Publisher : Oxford University Press
Page : 153 pages
File Size : 31,7 MB
Release : 2010-07
Category : Mathematics
ISBN : 0199566321
This short guide to modern error analysis is primarily intended to be used in undergraduate laboratories in the physical sciences. No prior knowledge of statistics is assumed. The necessary concepts are introduced where needed and illustrated graphically. The book emphasises the use of computers for error calculations and data fitting.
Author : Lawrence Davis
Publisher :
Page : 590 pages
File Size : 25,18 MB
Release : 201?
Category : Physics
ISBN :
"Body Physics was designed to meet the objectives of a one-term high school or freshman level course in physical science, typically designed to provide non-science majors and undeclared students with exposure to the most basic principles in physics while fulfilling a science-with-lab core requirement. The content level is aimed at students taking their first college science course, whether or not they are planning to major in science. However, with minor supplementation by other resources, such as OpenStax College Physics, this textbook could easily be used as the primary resource in 200-level introductory courses. Chapters that may be more appropriate for physics courses than for general science courses are noted with an asterisk symbol (*). Of course this textbook could be used to supplement other primary resources in any physics course covering mechanics and thermodynamics"--Textbook Web page.
