Landslide susceptibility assessment using Spatial Analysis and GIS modeling in Cluj-Napoca Metropolitan Area, Romania [PDF]
Cinq Continents, 2017 In Romania, landslides together with the multitude geomorphological processes linked to them are some of the most common hazards which manifested in vulnerable areas with important human activities can induce many negative effects.
Bogdan Eugen Dolean
doaj
Key worker services for disabled children: what characteristics of services lead to better outcomes for children and families? [PDF]
, 2006 Background: Research has shown that families of disabled children who have a key worker benefit from this service and recent policy initiatives emphasize the importance of such services. However, research is lacking on which characteristics of key worker
Beresford B. +14 more
core +1 more source
Bivariate hydrologic risk analysis for the Xiangxi River in Three Gorges Reservoir Area, China
Environmental Systems Research, 2022 Background Hydrological extremes such as floods generally have multidimensional attributes with complex dependence structures. This leads to the urgent demand of hydrological risk analysis within a multivariate context.
Y. R. Fan
doaj +1 more source
Nonlinear analysis of bivariate data with cross recurrence plots
, 2002 We use the extension of the method of recurrence plots to cross recurrence plots (CRP) which enables a nonlinear analysis of bivariate data. To quantify CRPs, we develop further three measures of complexity mainly basing on diagonal structures in CRPs ...
Abarbanel +22 more
core +4 more sources
CopulaDTA: An R Package for Copula Based Bivariate Beta-Binomial Models for Diagnostic Test Accuracy Studies in a Bayesian Framework [PDF]
, 2016 The current statistical procedures implemented in statistical software packages for pooling of diagnostic test accuracy data include hSROC regression and the bivariate random-effects meta-analysis model (BRMA).
Aerts, Marc +2 more
core +3 more sources
Assessing Cross-Dependencies Using Bivariate Multifractal Analysis [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 Multifractal analysis, notably with its recent wavelet-leader based formulation, has nowadays become a reference tool to characterize scale-free temporal dynamics in time series. It proved successful in numerous applications very diverse in nature. However, such successes remained restricted to univariate analysis while many recent applications call ...
Wendt, Herwig +5 more
openaire +2 more sources
Genetics of Obesity Traits: A Bivariate Genome-Wide Association Analysis
Frontiers in Genetics, 2018 Previous genome-wide association studies on anthropometric measurements have identified more than 100 related loci, but only a small portion of heritability in obesity was explained. Here we present a bivariate twin study to look for the genetic variants
Yili Wu +11 more
doaj +1 more source
A Euclidean likelihood estimator for bivariate tail dependence [PDF]
, 2012 The spectral measure plays a key role in the statistical modeling of multivariate extremes. Estimation of the spectral measure is a complex issue, given the need to obey a certain moment condition.
de Carvalho, Miguel +3 more
core +2 more sources
A Tale of Two Unprecedented Droughts in Southeast Asia: Physical Drivers and Impending Future Risks
Earth's FutureConventional wisdom suggests that tropical droughts in Southeast Asia are closely linked to natural climate variability like El Niño. However, the extreme 2014 drought occurred independently of El Niño, suggesting other dynamic forcings at play.
Shuping Ma +7 more
doaj +1 more source
Methodology, 2020 Although measures such as sensitivity and specificity are used in the study of diagnostic test accuracy, these are not appropriate for integrating heterogeneous studies.
Johny J. Pambabay-Calero +4 more
doaj +1 more source