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Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02526-2
Abstract: Statistical model improvement consists of model calibration, validation, and refinement techniques. It aims to increase the accuracy of computational models. Although engineers in industrial fields are expanding the use of computational models in the process…
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Keywords:
statistical model;
model;
model improvement;
automobile steering ... See more keywords
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Published in 2019 at "Theoretical and Applied Climatology"
DOI: 10.1007/s00704-019-02933-6
Abstract: Predicting extreme temperature events can be very useful for different sectors that are strongly affected by their variability. The goal of this study is to analyze the influence of the main atmospheric, oceanic, and soil…
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Keywords:
predictability;
warm days;
statistical model;
summer ... See more keywords
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Published in 2024 at "Estuaries and Coasts"
DOI: 10.1007/s12237-024-01473-1
Abstract: In coastal urban areas, tidal flooding brings water carrying nutrients and particles back from land to estuarine and coastal waters. A statistical model to predict nutrient loads during tidal flooding events can help estimate nutrient…
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Keywords:
flooding;
flooding events;
water;
tidal flooding ... See more keywords
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Published in 2020 at "Analytical biochemistry"
DOI: 10.1016/j.ab.2020.113680
Abstract: The Empirical Statistical Model (ESM) for decoy library searching fused the expected amino acid sequence of 18 non-human protein standards to a human decoy library. The ESM assumed a priori the standards were pure such…
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Keywords:
protein;
empirical statistical;
non human;
statistical model ... See more keywords
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Published in 2018 at "Computational Materials Science"
DOI: 10.1016/j.commatsci.2018.07.052
Abstract: We estimate a statistical model to predict the superconducting critical temperature based on the features extracted from the superconductor's chemical formula. The statistical model gives reasonable out-of-sample predictions: $\pm 9.5$ K based on root-mean-squared-error. Features…
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Keywords:
critical temperature;
data driven;
statistical model;
model ... See more keywords
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Published in 2017 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2017.02.046
Abstract: Abstract In this paper it is performed a parametric analysis of the statistical model of the response of a dry-friction oscillator. The oscillator is a spring-mass system which moves over a base with a rough…
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Keywords:
stick slip;
system;
statistical model;
model ... See more keywords
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Published in 2018 at "Tribology International"
DOI: 10.1016/j.triboint.2018.06.032
Abstract: Abstract This paper proposes a new statistical model to characterise acoustic emission (AE) signals generated from surfaces in sliding contact. Such signals have traditionally been assessed using simple metrics such as RMS or kurtosis, but…
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Keywords:
machine;
statistical model;
new statistical;
sliding contact ... See more keywords
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Published in 2017 at "Ultrasonics"
DOI: 10.1016/j.ultras.2017.01.009
Abstract: HighlightsUse of the Nakagami statistical model in ultrasonic tissue mimicking phantoms and microbubbles characterization.Nonlinear exploitation of statistical signatures to describe the scattering echoes.Construction of the parametric images based on Nakagami parameters.Application of the logarithmic compression…
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Keywords:
image;
mode;
statistical model;
characterization ... See more keywords
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Published in 2022 at "Nature Communications"
DOI: 10.1038/s41467-022-28595-z
Abstract: Macroevolution posed difficulties for Darwin and later theorists because species’ phenotypes frequently change abruptly, or experience long periods of stasis, both counter to the theory of incremental change or gradualism. We introduce a statistical model…
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Keywords:
model shows;
gradualism;
general statistical;
statistical model ... See more keywords
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Published in 2021 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2021.1970122
Abstract: Coronavirus pandemic has affected the whole world extensively and it is of immense importance to understand how the disease is spreading. In this work, we provide evidence of spatial dependence in ...
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Keywords:
temporal statistical;
covid spread;
spatio temporal;
statistical model ... See more keywords
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Published in 2018 at "Inverse Problems in Science and Engineering"
DOI: 10.1080/17415977.2017.1312363
Abstract: We examine uncertainty in clinical data from a kidney transplant recipient infected with BK virus and investigate mathematical model and statistical model misspecifications in the context of least squares methodology. A difference-based method is directly…
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Keywords:
statistical model;
transplant;
model;
mathematical statistical ... See more keywords