Results 41 to 50 of about 19,520,789 (348)
Over-dispersion parameters estimation of the Negative Binomial distribution (6).
, 2022 Over-dispersion parameters estimation of the Negative Binomial distribution (6).
Kernel Prieto (11985581) +2 more
core +1 more source
Analysis of Text Non-Homogeneity Using Markers
Lithuanian Journal of Statistics, 2015 The aim of the paper is to assess the distributional non-homogeneity of texts in the usage of functional words andother linguistic units. Our empirical study is based on recommended school fiction works taken from a digital library athttp://ebiblioteka ...
Monika Lapėnaitė-Gedvilė +2 more
doaj +1 more source
Clustering over‐dispersed data with mixed feature types
Statistical Analysis and Data Mining: The ASA Data Science Journal, 2018 Despite many data clustering methods are available, most of them uncover compactness or connectivity as the intrinsic structure of unlabeled data. Very few approaches explicitly consider the cluster size distribution, especially over‐dispersed (high variance), which may represent yet another important aspect of structural information of unlabeled data.
Lu Wang 0004 +2 more
openaire +3 more sources
Discrimination between Some Over Dispersed Count Distributions
ASM Science Journal, 2021 The Poisson inverse Gaussian and generalized Poisson distributions are widely used in modelling overdispersed count data which are commonly found in healthcare, insurance, engineering, econometric and ecology. The inverse trinomial distribution is a relatively new count distribution arising from a one-dimensional random walk model (Shimizu & ...
Yook-Ngor Phang +2 more
openaire +3 more sources
Study on Dispersion of Carbon Dioxide over the Shrubbery Region
Frontiers in Energy Research, 2021 In the carbon capture and storage (CCS) infrastructure, the risk of a high-pressure buried pipeline rupture possibly leads to catastrophic accidents due to the release of tremendous amounts of carbon dioxide (CO2).
Wang Huiru +4 more
doaj +1 more source
A generally applicable atomic-charge dependent London dispersion correction.
Journal of Chemical Physics, 2018 The so-called D4 model is presented for the accurate computation of London dispersion interactions in density functional theory approximations (DFT-D4) and generally for atomistic modeling methods.
Eike Caldeweyher +6 more
semanticscholar +1 more source
Dispersion management in nonlinear photonic crystal fibres with nanostructured core [PDF]
Journal of the European Optical Society-Rapid Publications, 2011 The subwavelength structure of the core of a photonic crystal fibre can modify its dispersion characteristic and significantly shift the zero dispersion wavelength.
Buczynski Ryszard +8 more
doaj +1 more source
Schizophrenia Research: Cognition, 2022 Objective: Persons with schizophrenia exhibit greater neurocognitive test score dispersion. Here, we seek to characterize dispersion on the Neurocognitive Composite subtests of the Measurement of Treatment Research to Improve Cognition in Schizophrena ...
David J. Williamson +7 more
doaj +1 more source
Large-eddy simulation for flow and dispersion in urban streets
, 2009 Large-eddy simulations (LES) with our recently developed inflow approach (Xie &Castro, 2008a) have been used for flow and dispersion within a genuine city area -the DAPPLE site, located at the intersection of Marylebone Rd and Gloucester Plin Central
Xie, Zheng-Tong +3 more
core +1 more source
CO2 dispersion modelling over Paris region within the CO2-MEGAPARIS project [PDF]
Atmospheric Chemistry and Physics, 2013 Accurate simulation of the spatial and temporal variability of tracer mixing ratios over urban areas is a challenging and interesting task needed to be performed in order to utilise CO2 measurements in an atmospheric inverse framework and to better ...
C. Lac +9 more
doaj +1 more source