2020
DOI: 10.1007/978-3-030-53329-8
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Introduction to Statistics in Metrology

Abstract: material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific stat… Show more

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Cited by 23 publications
(13 citation statements)
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“…Talking about "precision" runs into a problem where many statistical people want to use that term to refer to the variability (reliability) of repeated measurements, a widespread if not universal usage (see, for example, Eisenhart [1968]). I commend the term "resolution" broadly as used by Murphy (1997) and Crowder et al (2020). This term has the secondary advantage that it also covers cases where the resolution is a matter of rounding to halves, quarters, eighths, other fractions that are powers of 2, or even to yet more unusual fractions.…”
Section: The Idea Of Resolutionmentioning
confidence: 99%
“…Talking about "precision" runs into a problem where many statistical people want to use that term to refer to the variability (reliability) of repeated measurements, a widespread if not universal usage (see, for example, Eisenhart [1968]). I commend the term "resolution" broadly as used by Murphy (1997) and Crowder et al (2020). This term has the secondary advantage that it also covers cases where the resolution is a matter of rounding to halves, quarters, eighths, other fractions that are powers of 2, or even to yet more unusual fractions.…”
Section: The Idea Of Resolutionmentioning
confidence: 99%
“…This means that the exact distribution of Y is not of a known form. An analytical solution for calculating percentile intervals is to use first-order Taylor approximations, but this approach does not work well when standard deviations are relatively large [26] (pp. 131-151), which is often the case in our analysis.…”
Section: Calculation Of the Effects Of The Secondhand Marketmentioning
confidence: 99%
“…For this reason, Monte Carlo simulation will be used, which performs well compared to other approximation methods [27] and is used more often in this field [23,24]. A number of 1 million samples per variable will be used, based on [26] (pp. 153-180).…”
Section: Calculation Of the Effects Of The Secondhand Marketmentioning
confidence: 99%
“…Measurement error is the difference between a measurement and the true value of a quantity (Crowder et al, 2020). It is typically described using random , systematic or differential error models (Luijken et al, 2019).…”
Section: Potential Sources Of Predictive Inconsistencymentioning
confidence: 99%