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Published in 2018 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.21989
Abstract: We propose a new generalization of the discrete Choquet integral based on an arbitrary bivariate symmetric averaging function (mean). So far only the means with a natural multivariate extension were used for this purpose. In…
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Keywords:
new type;
type fuzzy;
bivariate symmetric;
symmetric means ... See more keywords
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Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7225
Abstract: Clinical trials with multiple primary time-to-event outcomes are common. Use of multiple endpoints creates challenges in the evaluation of power and the calculation of sample size during trial design particularly for time-to-event outcomes. We present…
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Keywords:
time event;
clinical trials;
event;
bivariate ... See more keywords
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Published in 2020 at "Applied Microbiology and Biotechnology"
DOI: 10.1007/s00253-020-10636-6
Abstract: Phenotypic plasticity is the capacity to change the phenotype in response to different environments without alteration of the genotype. Despite sufficient evidence that microorganisms have a major role in the fitness and sickness of eukaryotes,…
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Keywords:
genome wide;
growth plasticity;
study;
bivariate ... See more keywords
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Published in 2021 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-021-09875-5
Abstract: In this paper, we are interested in the dependence between lifetimes based on a joint survival model. This model is built using the bivariate Sarmanov distribution with Phase-Type marginal distributions. Capitalizing on these two classes…
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Keywords:
bivariate sarmanov;
bivariate;
phase type;
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Published in 2018 at "Environmental Earth Sciences"
DOI: 10.1007/s12665-018-7434-2
Abstract: This work aims to evaluate the predictive capability of three bivariate statistical models, namely information value, frequency ratio, and evidential belief functions, in gully erosion susceptibility mapping in northeastern Maysan Governorate (Ali Al-Gharbi District) in…
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Keywords:
maysan governorate;
susceptibility mapping;
bivariate models;
bivariate ... See more keywords
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Published in 2020 at "Journal of environmental management"
DOI: 10.1016/j.jenvman.2020.110865
Abstract: Modeling is an important statistical tool to Forest Science, especially to forest planning by predicting the forest's yield and assortments, for instance. This paper evaluated the accuracy of bivariate and generalized linear mixed modeling in…
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Keywords:
pinus taeda;
bivariate generalized;
bivariate;
assortments production ... See more keywords
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Published in 2022 at "Twin Research and Human Genetics"
DOI: 10.1017/thg.2022.39
Abstract: Abstract It is crucial to understand the genetic mechanisms and biological pathways underlying the relationship between obesity and serum lipid levels. Structural equation models (SEMs) were constructed to calculate heritability for body mass index (BMI),…
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Keywords:
bivariate;
obesity serum;
cholesterol;
lipid levels ... See more keywords
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Published in 2020 at "Multivariate behavioral research"
DOI: 10.1080/00273171.2020.1762064
Abstract: In any given survey, individuals are likely to differ in attitudes toward the subject matter. They also may differ in terms of the duration and persistence of attitudes, with some persons' beliefs being much more…
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Keywords:
assessing attitude;
model;
jointly assessing;
bivariate ... See more keywords
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Published in 2017 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2016.1158113
Abstract: ABSTRACT Interval-censored failure time data arise in a number of fields and many authors have discussed various issues related to their analysis. However, most of the existing methods are for univariate data and there exists…
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Keywords:
censored failure;
analysis;
interval censored;
interval ... See more keywords
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Published in 2020 at "Numerical Functional Analysis and Optimization"
DOI: 10.1080/01630563.2020.1738458
Abstract: Abstract The current article intends to study some elementary constrained approximation aspects of the bivariate fractal functions. To this end, firstly the construction of bivariate fractal interpolation functions available in the literature is revisited with…
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Keywords:
interpolation functions;
constrained approximation;
bivariate fractal;
bivariate ... See more keywords
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Published in 2019 at "Statistics"
DOI: 10.1080/02331888.2019.1581782
Abstract: ABSTRACT We propose a bivariate Farlie–Gumbel–Morgenstern (FGM) copula model for bivariate meta-analysis, and develop a maximum likelihood estimator for the common mean vector. With the aid of novel mathematical identities for the FGM copula, we…
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Keywords:
common mean;
bivariate;
bivariate meta;
fgm copula ... See more keywords