Does anthropometric status at 6 months predict the over-dispersion of malaria infections in children aged 6–18 months? A prospective cohort study [PDF]
Malaria Journal, 2019 Background In malaria-endemic settings, a small proportion of children suffer repeated malaria infections, contributing to most of the malaria cases, yet underlying factors are not fully understood.
Jaden Bendabenda +6 more
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A novel two-parameter discrete exponentiated exponential distribution with its neutrosophic extension: mathematical characterization and real-world count data modeling [PDF]
Frontiers in Big DataThis paper proposes and studies the Discrete Exponentiated Exponential (DEE) distribution, a new two-parameter discrete lifetime model obtained by applying the survival discretization technique to the exponentiated exponential distribution.
Furqan Ahmed P., Sujatha V.
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Indexing of US Counties with Overdispersed Incidences of COVID-19 Deaths
Mathematics, 2023 The number of COVID-19 fatalities fluctuated widely across United States (US) counties. The number of deaths is stochastic. When the average number of deaths is equal to the dispersion, the distribution is the usual Poisson.
Ramalingam Shanmugam +4 more
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Discrete Pseudo Lindley Distribution: Properties, Estimation and Application on INAR(1) Process
Mathematical and Computational Applications, 2021 In this paper, we introduce a discrete version of the Pseudo Lindley (PsL) distribution, namely, the discrete Pseudo Lindley (DPsL) distribution, and systematically study its mathematical properties. Explicit forms gathered for the properties such as the
Muhammed Rasheed Irshad +3 more
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The Binomial–Natural Discrete Lindley Distribution: Properties and Application to Count Data
Mathematical and Computational Applications, 2022 In this paper, a new discrete distribution called Binomial–Natural Discrete Lindley distribution is proposed by compounding the binomial and natural discrete Lindley distributions.
Shakaiba Shafiq +4 more
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Recent Developments in Mixed Poisson Distributions
ASM Science Journal, 2021 Mixed Poisson distributions are a class of distributions arising from the Poisson mean fluctuating as a random variable. Mixed Poisson distributions have been applied in diverse disciplines for modelling non-homogeneity in populations.
Seng Huat Ong +2 more
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A Conway–Maxwell–Poisson-Binomial AR(1) Model for Bounded Time Series Data
Entropy, 2023 Binomial autoregressive models are frequently used for modeling bounded time series counts. However, they are not well developed for more complex bounded time series counts of the occurrence of n exchangeable and dependent units, which are becoming ...
Huaping Chen, Jiayue Zhang, Xiufang Liu
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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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Mathematics, 2023 Under-dispersed count data often appear in clinical trials, medical studies, demography, actuarial science, ecology, biology, industry and engineering.
Xun-Jian Li +4 more
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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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