Results 21 to 30 of about 10,510,063 (301)
The Poisson-generalised Lindley distribution and its applications [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2016 The Poisson distribution plays important role in count data analysis. However, the Poisson distribution cannot model some data with over-dispersion because of its property, equi-dispersion.
Weerinrada Wongrin, Winai Bodhisuwan
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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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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
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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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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".
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On the distribution theory of over-dispersion [PDF]
Journal of Statistical Distributions and Applications, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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
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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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Forecasting warranty claims considering dynamic over-dispersion [PDF]
International Journal of Production Economics, 2012 Forecasting warranty claims are vitally important for manufacturers in preparing their fiscal plans as well as in managing their inventory. One of the widely used forecasting models is the non-homogeneous Poisson process (NHPP), which assumes that the mean and the variance of the numbers of warranty claims at any given time interval are equal. However,
Akbarov, Artur, Wu, Shaomin
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Evidence for Over-Dispersion in the Distribution of Clinical Malaria Episodes in Children [PDF]
PLoS ONE, 2008 It may be assumed that patterns of clinical malaria in children of similar age under the same level of exposure would follow a Poisson distribution with no over-dispersion. Longitudinal studies that have been conducted over many years suggest that some children may experience more episodes of clinical malaria than would be expected.
Tabitha Mwangi +5 more
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