Articles with "statistical modelling" as a keyword



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Assessment and statistical modelling of airborne microorganisms in Madrid.

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Published in 2020 at "Environmental pollution"

DOI: 10.1016/j.envpol.2020.116124

Abstract: The limited evidence available suggests that the interaction between chemical pollutants and biological particles may intensify respiratory diseases caused by air pollution in urban areas. Unlike air pollutants, which are routinely measured, records of biotic… read more here.

Keywords: modelling airborne; microorganisms madrid; statistical modelling; airborne microorganisms ... See more keywords
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Vanillin isotopic intramolecular 13C profile through polarization transfer NMR pulse sequence and statistical modelling

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Published in 2021 at "Food Control"

DOI: 10.1016/j.foodcont.2021.108345

Abstract: Abstract Vanilla is the most popular aroma among consumers and the authentication of its main compound – vanillin – remains a current challenge in transformed products, whose low vanillin concentration is a limitation to SNIF-NMR… read more here.

Keywords: vanillin; pulse sequence; polarization transfer; nmr pulse ... See more keywords
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Statistical modelling of an ammonium nitrate fluidised bed granulator for inference measurement

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Published in 2019 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2019.09.177

Abstract: Abstract Fluidised bed granulation is a widely used wet granulation technique. The operation of a fluidised bed granulator (FBG) as well as the quality of the product is strongly influenced by multiple process variables and… read more here.

Keywords: bed granulator; statistical modelling; fluidised bed; modelling ammonium ... See more keywords
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Revisiting genome-wide association studies from statistical modelling to machine learning

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Published in 2021 at "Briefings in bioinformatics"

DOI: 10.1093/bib/bbaa263

Abstract: Over the last decade, genome-wide association studies (GWAS) have discovered thousands of genetic variants underlying complex human diseases and agriculturally important traits. These findings have been utilized to dissect the biological basis of diseases, to… read more here.

Keywords: genome wide; association studies; machine learning; modelling machine ... See more keywords
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Boosting for statistical modelling-A non-technical introduction

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Published in 2018 at "Statistical Modelling"

DOI: 10.1177/1471082x17748086

Abstract: Boosting algorithms were originally developed for machine learning but were later adapted to estimate statistical models—offering various practical advantages such as automated variable selection and implicit regularization of effect estimates. The interpretation of the resulting… read more here.

Keywords: technical introduction; modelling non; statistical modelling; boosting statistical ... See more keywords
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Statistical modelling algorithm for solving the nonlinear Boltzmann equation based on the projection method

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Published in 2017 at "Russian Journal of Numerical Analysis and Mathematical Modelling"

DOI: 10.1515/rnam-2017-0017

Abstract: Abstract A statistical modelling algorithm is constructed for solution of the nonlinear kinetic Boltzmann equation based on the projection method. Hermite polynomials are used as an orthonormalized basis. The algorithm was tested on calculations for… read more here.

Keywords: based projection; modelling algorithm; algorithm; statistical modelling ... See more keywords
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Statistical modelling of the EUR/DZD returns with infinite variance distribution

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Published in 2019 at "Pakistan Journal of Statistics and Operation Research"

DOI: 10.18187/pjsor.v15i2.2654

Abstract: Extreme values can cause considerable damage in several sectors and especiallyin finance. In this article, we are interested in estimating some risk measuresfor the series of the EURO exchange rate against the DZD (Algerian dinar)using… read more here.

Keywords: dzd; modelling eur; eur dzd; dzd returns ... See more keywords
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Continuous Monitoring and Statistical Modelling of Heart Rate Variability

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Published in 2020 at "Studies in health technology and informatics"

DOI: 10.3233/shti200136

Abstract: The paper presents a sensor network system implemented to continuously monitor and detect cardiovascular diseases experienced in patients at high-risk. The device is designed to capture and transmit the ECG signals and pulse to the… read more here.

Keywords: heart rate; heart; statistical modelling; monitoring statistical ... See more keywords