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multiSyncPy: A Python package for assessing multivariate coordination dynamics

Behavior Research Methods, 2021
In order to support the burgeoning field of research into intra- and interpersonal synchrony, we present an open-source software package: multiSyncPy.
Dane A. Hudson, Travis J. Wiltshire, Martin Atzmueller   +2 more
semanticscholar   +1 more source

Statistical analyses of hydrochemistry in multi-aquifers of the Pansan coalmine, Huainan coalfield, China: implications for water-rock interaction and hydraulic connection

Heliyon, 2022
Understanding the groundwater hydrogeochemical processes and aquifer hydraulic connections are essential for effective prevention of water inrush in concealed coal mines.
Kai Chen, Qimeng Liu, Tingting Yang, Qi-Ping Ju, Yu Feng   +4 more
semanticscholar   +1 more source

Multivariate distributions of correlated binary variables generated by pair-copulas

Journal of Statistical Distributions and Applications, 2021
Correlated binary data are prevalent in a wide range of scientific disciplines, including healthcare and medicine. The generalized estimating equations (GEEs) and the multivariate probit (MP) model are two of the popular methods for analyzing such data ...
Huihui Lin, N. Chaganty
semanticscholar   +1 more source

Inference for bivariate extremes via a semi-parametric angular-radial model [PDF]

Extremes
The modelling of multivariate extreme events is important in a wide variety of applications, including flood risk analysis, metocean engineering and financial modelling.
Callum J. R. Murphy-Barltrop, Ed Mackay, Philip Jonathan   +2 more
semanticscholar   +1 more source

Negative aging and stochastic comparisons of residual lifetimes in multivariate frailty models [PDF]

, 2010
Departamento de Economía, Métodos Cuantitativos e Hª Económica, Área de Estadísitca e I.O.
Rodríguez-Griñolo, Rosario, Rodriguez-Grignolo, R., Mullero, J., MULERO J, RODRIGUEZ GRIGNOLO R., Mulero, J., Pellerey, F., Pellerey, Franco   +7 more
core   +1 more source

Comparison of Statistical and Analytical Hierarchy Process Methods on Flood Susceptibility Mapping: In a Case Study of the Tana Sub-basin in Northwestern Ethiopia

, 2020
The sub-basin of Lake Tana is one of the most flood-prone areas in northwestern Ethiopia, which is affected by flood hazards. Flood susceptibility modeling in this area is essential for hazard reduction purposes.
Azemeraw Wubalem, Gashaw Tesfaw, Zerihun Dawit, B. Getahun, Tamirat Mekuria, M. Jothimani   +5 more
semanticscholar   +1 more source

Statistical models for dependent and non-stationary extreme events [PDF]

, 2007
Extreme value methods are used in a wide range of applications, for example they may be used for modelling wave heights and river levels in hydrology, wind speeds in structural engineering and share price return levels in economics.
Eastoe, Emma F, Eastoe, Emma F.
core  

Open Application of Statistical and Machine Learning Models to Explore the Impact of Environmental Exposures on Health and Disease: An Asthma Use Case

International Journal of Environmental Research and Public Health, 2021
ICEES (Integrated Clinical and Environmental Exposures Service) provides a disease-agnostic, regulatory-compliant approach for openly exposing and analyzing clinical data that have been integrated at the patient level with environmental exposures data ...
B. Lan, P. Haaland, Ashok Krishnamurthy, D. Peden, Patrick L. Schmitt, Priya Sharma, Meghamala Sinha, Hao Xu, K. Fecho   +8 more
semanticscholar   +1 more source

Copulas for statistical signal processing (Part I) : extensions and generalization

, 2014
Existing works on multivariate distributions mainly focus on limited distribution functions and require that the associated marginal distributions belong to the same family. Although this simplifies problems, it may fail to deal with practical cases when
Wang, Zheng, Zeng, Xuexing, Ren, Jinchang, Marshall, Stephen, Durrani, Tariq   +4 more
core   +1 more source

Regionalization of Drought across South Korea Using Multivariate Methods

, 2017
Topographic and hydro-climatic features of South Korea are highly heterogeneous and able to influence the drought phenomena in the region. The complex topographical and hydro-climatic features of South Korea need a statistically accurate method to find ...
M. Azam, H. Park, S. Maeng, H. S. Kim
semanticscholar   +1 more source