Results 21 to 30 of about 334,324 (301)
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
doaj +1 more source
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
openaire +2 more sources
Handling over-dispersion of performance indicators [PDF]
Quality and Safety in Health Care, 2005 A problem can arise when a performance indicator shows substantially more variability than would be expected by chance alone, since ignoring such "over-dispersion" could lead to a large number of institutions being inappropriately classified as "abnormal".
openaire +2 more sources
Nonparametric Bayes modeling of count processes [PDF]
, 2013 Data on count processes arise in a variety of applications, including longitudinal, spatial and imaging studies measuring count responses. The literature on statistical models for dependent count data is dominated by models built from hierarchical ...
Canale, Antonio, Dunson, David B.
core +2 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
doaj +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
doaj +2 more sources
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
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
doaj +1 more source
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
doaj +1 more source
Non-parametric Bayesian modelling of digital gene expression data [PDF]
, 2013 Next-generation sequencing technologies provide a revolutionary tool for generating gene expression data. Starting with a fixed RNA sample, they construct a library of millions of differentially abundant short sequence tags or "reads", which constitute a
Gough, Julian, Vavoulis, Dimitrios V.
core +1 more source