A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data [PDF]
, 2016 Measurement error in self-reported dietary intakes is known to bias the association between dietary intake and a health outcome of interest such as risk of a disease. The association can be distorted further by mismeasured confounders, leading to invalid
Agogo, GO +11 more
core +3 more sources
Ecosphere, 2019 Conservation planning for wildlife species requires mapping and assessment of habitat suitability across broad areas, often relying on a diverse suite, or stack, of geospatial data presenting multidimensional controls on a species.
Emilie B. Henderson +2 more
doaj +1 more source
The performance of unweighted least squares and regularized unweighted least squares in estimating factor loadings in structural equation modeling [PDF]
International Journal of Data and Network Science, 2023 In a confirmatory study, researchers are expected to employ the covariance-based structural equation modeling (CB-SEM). One of the key presumptions when utilizing CB-SEM is that the data is multivariate normal.
Nurul Raudhah Zulkifli +2 more
doaj +1 more source
Multivariate emulation of computer simulators: model selection and diagnostics with application to a humanitarian relief model [PDF]
, 2016 We present a common framework for Bayesian emulation methodologies for multivariate-output simulators, or computer models, that employ either parametric linear models or nonparametric Gaussian processes.
Overstall, Antony M., Woods, David C.
core +1 more source
Multivariate models to classify Tuscan virgin olive oils by zone.
Grasas y Aceites, 1999 In order to study and classify Tuscan virgin olive oils, 179 samples were collected. They were obtained from drupes harvested during the first half of November, from three different zones of the Region. The sampling was repeated for 5 years. Fatty acids,
Stefano Alessandri +4 more
doaj +1 more source
Technical note: Changes in cross- and auto-dependence structures in climate projections of daily precipitation and their sensitivity to outliers [PDF]
Hydrology and Earth System Sciences, 2019 Simulations of regional or global climate models are often used for climate change impact assessment. To eliminate systematic errors, which are inherent to all climate model simulations, a number of post-processing (statistical downscaling) methods have ...
J. Hnilica +3 more
doaj +1 more source
Remote Sensing, 2022 This work tests the hypothesis that jointly assimilating satellite observations of leaf area index and surface soil moisture into a land surface model improves the estimation of land vegetation and water variables.
Azbina Rahman +5 more
doaj +1 more source
A mixed effect model for bivariate meta-analysis of diagnostic test accuracy studies using a copula representation of the random effects distribution [PDF]
, 2015 Diagnostic test accuracy studies typically report the number of true positives, false positives, true negatives and false negatives. There usually exists a negative association between the number of true positives and true negatives, because studies that
Arends +51 more
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Improved maximum likelihood estimators in a heteroskedastic errors-in-variables model
, 2011 This paper develops a bias correction scheme for a multivariate heteroskedastic errors-in-variables model. The applicability of this model is justified in areas such as astrophysics, epidemiology and analytical chemistry, where the variables are subject ...
Alexandre G. Patriota +14 more
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Ellipsoidal Prediction Regions for Multivariate Uncertainty Characterization [PDF]
, 2017 While substantial advances are observed in probabilistic forecasting for power system operation and electricity market applications, most approaches are still developed in a univariate framework.
Azizipanah-Abarghooee, Rasoul +3 more
core +2 more sources