Results 31 to 40 of about 19,520,789 (348)
Air Pollution Dispersion over Durban, South Africa
Atmosphere, 2022 Air pollution dispersion over Durban is studied using satellite, reanalysis and in situ measurements. This coastal city of 4 million people located on the east coast of South Africa contributes 29 million T/yr of trace gases, mostly from transport and ...
Mark R. Jury, Mandisa S. Buthelezi
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A Relationship between Nuclear Black Hole Mass and Galaxy Velocity Dispersion [PDF]
, 2000 We describe a correlation between the mass Mbh of a galaxy's central black hole and the luminosity-weighted line-of-sight velocity dispersion σe within the half-light radius.
K. Gebhardt +14 more
semanticscholar +1 more source
Turbulent dispersion in cloud-topped boundary layers [PDF]
, 2009 Compared to dry boundary layers, dispersion in cloud-topped boundary layers has received less attention. In this LES based numerical study we investigate the dispersion of a passive tracer in the form of Lagrangian particles for four kinds of atmospheric
Vilà-Guerau de Arellano, J. (author) +11 more
core +1 more source
Prediction of Ross River virus incidence in Queensland, Australia: building and comparing models [PDF]
PeerJ, 2022 Transmission of Ross River virus (RRV) is influenced by climatic, environmental, and socio-economic factors. Accurate and robust predictions based on these factors are necessary for disease prevention and control.
Wei Qian +4 more
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Log-Normal or Over-Dispersed Poisson? [PDF]
Risks, 2018 Although both over-dispersed Poisson and log-normal chain-ladder models are popular in claim reserving, it is not obvious when to choose which model. Yet, the two models are obviously different. While the over-dispersed Poisson model imposes the variance to mean ratio to be common across the array, the log-normal model assumes the same for the standard
openaire +3 more sources
Basic Features of the Analysis of Germination Data with Generalized Linear Mixed Models
Data, 2020 Germination data are discrete and binomial. Although analysis of variance (ANOVA) has long been used for the statistical analysis of these data, generalized linear mixed models (GzLMMs) provide a more consistent theoretical framework. GzLMMs are suitable
Alberto Gianinetti
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A new over-dispersed count model
, 2023 A new two-parameter discrete distribution, namely the PoiG distribution is derived by the convolution of a Poisson variate and an independently distributed geometric random variable. This distribution generalizes both the Poisson and geometric distributions and can be used for modelling over-dispersed as well as equi-dispersed count data.
Nandi, Anupama +2 more
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Achromatic Metalens over 60 nm Bandwidth in the Visible and Metalens with Reverse Chromatic Dispersion. [PDF]
Nano letters (Print), 2017 In this Letter, we experimentally report an achromatic metalens (AML) operating over a continuous bandwidth in the visible. This is accomplished via dispersion engineering of dielectric phase shifters: titanium dioxide nanopillars tiled on a dielectric ...
M. Khorasaninejad +6 more
semanticscholar +1 more source
A New Three-Parameter Discrete Distribution With Associated INAR(1) Process and Applications
IEEE Access, 2020 The aim of this article is to propose a new three-parameter discrete Lindley distribution. A wide range of its structural properties are investigated.
M. S. Eliwa +3 more
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Can Generalized Poisson model replace any other count data models? An evaluation
Clinical Epidemiology and Global Health, 2021 Background: Count data represents the number of occurrences of an event within a fixed period of time. In count data modelling, overdispersion is inevitable.
Bijesh Yadav +6 more
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