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   Articles with "error distributions" as a keyword



Entropy-Based Weighting in One-Dimensional Multiple Errors Analysis of Geological Contacts to Model Geological Structure

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recommendations! Published in 2018 at "Mathematical Geosciences"

DOI: 10.1007/s11004-018-9750-1

Abstract: In each step of geological modeling, errors have an impact on measurements and workflow processes and, so, have consequences that challenge accurate three-dimensional geological modeling. In the context of classical error theory, for now, only… read more here.

Keywords: error; error distributions; geological contacts; geological attribute ... See more keywords

Detection and Exclusion of False-Positive Molecular Formula Assignments via Mass Error Distributions in UHR Mass Spectra of Natural Organic Matter

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recommendations! Published in 2024 at "Analytical Chemistry"

DOI: 10.1021/acs.analchem.4c00489

Abstract: Ultrahigh resolution mass spectrometry (UHRMS) routinely detects and identifies thousands of mass peaks in complex mixtures, such as natural organic matter (NOM) and petroleum. The assignment of several chemically plausible molecular formulas (MFs) for a… read more here.

Keywords: mass error; natural organic; mass; error distributions ... See more keywords

Deconvolution of ℙ(Xt < Yt) for stationary processes with supersmooth error distributions

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recommendations! Published in 2024 at "Statistics"

DOI: 10.1080/02331888.2024.2407913

Abstract: This paper focuses on nonparametrically estimating the probability $ \mathbb {P} \left ( X_t \lt Y_t \right ) $ P(Xt read more here.

Keywords: time; stationary processes; supersmooth error; processes supersmooth ... See more keywords

Modelling ordinal assessments: fit is not sufficient

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recommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2018.1473595

Abstract: Abstract Assessments in ordered categories are ubiquitous in the social sciences. These assessments are assigned ordinal counts and analyzed with probabilistic models. If the counts fit the model, it is assumed that no unaccounted for… read more here.

Keywords: random error; modelling ordinal; error distributions; ordinal assessments ... See more keywords
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Development of a new modified hogg type adaptive scheme for multilevel models with diverse error distributions

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recommendations! Published in 2021 at "Communications in Statistics - Theory and Methods"

DOI: 10.1080/03610926.2021.1959612

Abstract: The rank-based method is a well-known robust estimation technique in analyzing the linear models for non normal error distributions. The efficiency of rank-based analysis can be upgraded by selecti... read more here.

Keywords: type adaptive; development new; error distributions; hogg type ... See more keywords