Articles with "regression modelling" as a keyword



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On the implementation of reliable early warning systems at European bathing waters using multivariate Bayesian regression modelling.

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Published in 2018 at "Water research"

DOI: 10.1016/j.watres.2018.06.057

Abstract: For ensuring microbial safety, the current European bathing water directive (BWD) (76/160/EEC 2006) demands the implementation of reliable early warning systems for bathing waters, which are known to be subject to short-term pollution. However, the… read more here.

Keywords: european bathing; methodology; implementation; warning systems ... See more keywords
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Discussion of ‘a general framework for functional regression modelling’ by Greven and Scheipl

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Published in 2017 at "Statistical Modelling"

DOI: 10.1177/1471082x16681331

Abstract: Abstract We discuss the challenge in properly assessing the uncertainty of the estimates produced by the R package pffr, especially as it pertains to constructing confidence bands and computing p-values in functional linear models. We… read more here.

Keywords: functional regression; framework functional; discussion general; regression modelling ... See more keywords
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A general algorithm for error-in-variables regression modelling using Monte Carlo expectation maximization

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Published in 2023 at "PLOS ONE"

DOI: 10.1371/journal.pone.0283798

Abstract: In regression modelling, measurement error models are often needed to correct for uncertainty arising from measurements of covariates/predictor variables. The literature on measurement error (or errors-in-variables) modelling is plentiful, however, general algorithms and software for… read more here.

Keywords: regression; monte carlo; regression modelling; measurement error ... See more keywords
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Ridge Fuzzy Regression Modelling for Solving Multicollinearity

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Published in 2020 at "Mathematics"

DOI: 10.3390/math8091572

Abstract: This paper proposes an α-level estimation algorithm for ridge fuzzy regression modeling, addressing the multicollinearity phenomenon in the fuzzy linear regression setting. By incorporating α-levels in the estimation procedure, we are able to construct a… read more here.

Keywords: regression; multicollinearity; regression modelling; fuzzy regression ... See more keywords