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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Multi-objective optimal design of multiple dependent state sampling plan for over-dispersed data under the condition on a new zero-inflated distribution [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 A sampling plan can help to determine the quality of products, monitor the goodness of materials, and validate whether the yields are free from defects.
Wimonmas Bamrungsetthapong +1 more
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A Flexible Multivariate Distribution for Correlated Count Data
Stats, 2021 Multivariate count data are often modeled via a multivariate Poisson distribution, but it contains an underlying, constraining assumption of data equi-dispersion (where its variance equals its mean).
Kimberly F. Sellers +3 more
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On Discrete Poisson–Mirra Distribution: Regression, INAR(1) Process and Applications
Axioms, 2022 Several pieces of research have spotlighted the importance of count data modelling and its applications in real-world phenomena. In light of this, a novel two-parameter compound-Poisson distribution is developed in this paper.
Radhakumari Maya +4 more
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Bivariate Poisson 2Sum-Lindley Distributions and the Associated BINAR(1) Processes
Mathematics, 2022 Discrete-valued time series modeling has witnessed numerous bivariate first-order integer-valued autoregressive process or BINAR(1) processes based on binomial thinning and different innovation distributions.
Muhammed Rasheed Irshad +4 more
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The Applications of Generalized Poisson Regression Models to Insurance Claim Data
Risks, 2023 Predictive modeling has been widely used for insurance rate making. In this paper, we focus on insurance claim count data and address their common issues with more flexible modeling techniques.
Pouya Faroughi, Shu Li, Jiandong Ren
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Geomatics, Natural Hazards & Risk, 2021 Four regression techniques, including two global models (i.e., Poisson and negative binominal) and two geographically weighted regression (GWR) models (i.e., geographically weighted Poisson regression (GWPR) and geographically weighted negative binominal
Qianqian Cao +5 more
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A Flexible Semi-Poisson Distribution with Applications to Insurance Claims and Biological Data
Mathematics, 2023 In this paper, a discrete one-parameter distribution called the semi-Poisson distribution is introduced, which is based on a set of non-negative integers. It is seen that this distribution captures over-dispersion and zero-inflation scenarios well. A few
Fatimah E. Almuhayfith +3 more
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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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