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About 10,000 papers for “reliability data”
O'Neal, Suzanne, Eikenberry, Megan, Bocchi, Alexander et al. · Figshare · 2022
Data used to analyze inter- and intra-rater reliability for three course configurations and two methods of measurement of the 6 Minute Walk Test.
Cited by 0Open access
S.G. Powers · UA Campus Repository (The University of Arizona) · 2016
International Telemetering Conference Proceedings / October 09-11, 1973 / Sheraton Inn Northeast, Washington, D.C.
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T. R. Moss · Wiley StatsRef: Statistics Reference Online · 2014
Abstract Understanding the reliability characteristics of equipment is important when making decisions concerning the safety and productivity of an industrial plant. Good quality data is vital to this process. This article discusses methods for the analysis of the reliability data required for input to predictive models and the in‐service monitoring of plant and equipment reliability performance.
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Nagham Sannan (19935303), Tatiana Papazian (4040318), Zeina Issa (19935306) et al. · Figshare · 2024
<div><p>Background and objective</p><p>Nutrition is a basic need for athletes; thus, adequate dietary intake is crucial for maintaining overall health, facilitating training adaptations and boosting athletic performance. Accurate dietary assessment tools are required to minimize the challenges faced by athletes. This study verifies the validity and reproducibility of a 157 item semi-quantitative food frequency questionnaire (FFQ) among Lebanese athletes. This is the only Arabic questionnaire in Lebanon that estimates food consumption for athletes which can also be used in Arabic speaking countries. There has been no previous validated food frequency questionnaire that estimated food consumption for athletes in Lebanon.</p><p>Methods</p><p>A total of 194 athletes were included in the study to assess the validity of the food frequency questionnaire against four days dietary recalls by comparing the total nutrient intake values from the food frequency questionnaire with the mean values of four 24-hour dietary recalls using Spearman correlation coefficient and Bland Altman plots. In order to measure the reproducibility, the intra class correlation coefficients were calculated by repeating the same food frequency questionnaire after one month.</p><p>Results</p><p>The intra-class correlation coefficient between the two-food frequency questionnaires ranged from average (0.739 for carbohydrates) to good (0.870 for energy (Kcal)), to excellent (0.919 for proteins) concerning macronutrients and ranged from average (0.688 for vitamin D), to excellent (0.952 for vitamin B12), indicating an acceptable reproducibility. Spearman’s correlation coefficients of dietary intake estimate from the food frequency questionnaire and the four dietary recalls varied between 0.304 for sodium, 0.469 for magnesium to 0.953 for caloric intake (kcal). Bland-Altman plots illustrated a percentage of agreement ranging between 94.3% for fats to 96.4% for proteins.</p><p>Conclusion</p><p>This food frequency questionnaire has a reliable validity and reproducibility to evaluate dietary assessments and is an appropriate tool for future interventions to ensure the adoption of adequate eating strategies by athletes.</p></div>
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Suzanne O’Neal, Megan Eikenberry, Alexander Bocchi et al. · Figshare · 2022
Data used to analyze inter- and intra-rater reliability for three course configurations and two methods of measurement of the 6 Minute Walk Test.
Cited by 0Open access
Baradei, Anibal · Zenodo (CERN European Organization for Nuclear Research) · 2025
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C.A.R. Hoare · Oxford University Research Archive (ORA) (University of Oxford) · 1975
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C.A.R. Hoare · Oxford University Research Archive (ORA) (University of Oxford) · 1975
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C.A.R. Hoare · Oxford University Research Archive (ORA) (University of Oxford) · 1975
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Powers, S.G. · UA Campus Repository (The University of Arizona) · 1973
International Telemetering Conference Proceedings / October 09-11, 1973 / Sheraton Inn Northeast, Washington, D.C.
Cited by 0
2011
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T. R. Moss · Encyclopedia of Quantitative Risk Analysis and Assessment · 2008
Abstract Understanding the reliability characteristics of equipment is important when making decisions concerning the safety and productivity of an industrial plant. Good quality data is vital to this process. This article discusses methods for the analysis of the reliability data required for input to predictive models and the in‐service monitoring of plant and equipment reliability performance.
Cited by 1
2015
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Paul M. Collins · Oxford University Press eBooks · 2008
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Frank Papenmeier, Hauke S. Meyerhoff · OSF Preprints (OSF Preprints) · 2020
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2014
This chapter contains sections titled: Introduction Types of Data Failure Modes Generic Failure Rate Sources Plant-Specific Reliability Data Data Dossier Additional Reading
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Peter Tavner · Institution of Engineering and Technology eBooks · 2021
Chapter Contents: B.1 Introduction B.1.1 Background B.1.2 Previously developed wind industry methods B.2 Standardising wind turbine taxonomy B.2.1 Introduction B.2.2 Taxonomy guidelines B.2.3 Taxonomy structure B.3 Standardising methods for collecting wind turbine reliability data B.4 Standardising downtime event recording B.5 Standardising failure event recording B.5.1 Failure terminology B.5.2 Failure recording B.5.3 Failure location B.6 A detailed wind farm taxonomy B.7 Detailed wind turbine failure terminology
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Fikria, Ainun, Setiawan, Slamet, Munir, Ahmad · Zenodo (CERN European Organization for Nuclear Research) · 2025
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Yi-Ling Chen, Feng Shi, Paul Kattuman et al. · ArXiv.org · 2025
How can we assess the reliability of a dataset without access to ground truth? We introduce the problem of reliability scoring for datasets collected from potentially strategic sources. The true data are unobserved, but we see outcomes of an unknown statistical experiment that depends on them. To benchmark reliability, we define ground-truth-based orderings that capture how much reported data deviate from the truth. We then propose the Gram determinant score, which measures the volume spanned by vectors describing the empirical distribution of the observed data and experiment outcomes. We show that this score preserves several ground-truth based reliability orderings and, uniquely up to scaling, yields the same reliability ranking of datasets regardless of the experiment -- a property we term experiment agnosticism. Experiments on synthetic noise models, CIFAR-10 embeddings, and real employment data demonstrate that the Gram determinant score effectively captures data quality across diverse observation processes.
Cited by 0Open access
Robert G. Gallager, A. Segall, John M. Wozencraft · 1976
Abstract : The objective of this research is how to achieve in engineering practice the potential advantages of reliability that a large scale data communication network should make possible. From a technical viewpoint, the principal areas of investigation reported here are computer resource sharing, adaptive network routing, and the efficient representation of network protocol information. The approach has been theoretical, with an attempt made to take a fundamental new look (independent of current engineering practice) at areas where theoretical understanding is limited, but important and possible to attain. The primary analytical tools have been information, control, and queueing theory.
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