Results 1 to 10 of about 120 (106)
Modified jackknife ridge estimator for the Conway-Maxwell-Poisson model
Scientific African, 2023 Recently, research papers have shown a strong interest in modeling count data. The over-dispersion or under-dispersion are frequently seen in the count data.
Mohamed R Abonazel +2 more
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Compound Conway-Maxwell Poisson Gamma Distribution: Properties and Estimation
Austrian Journal of StatisticsThe distribution of a random sum of random events is called a compound distribution. It involves a counting (discrete) distribution to model the number of occurrences of the random event in a fixed time period and a continuous distribution to model the ...
Jahnavi Merupula, V S Vaidyanathan
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Conway-Maxwell-Poisson model fitting to HFMD data in Malaysia
Data Analytics and Applied MathematicsSince the first Hand, Foot and Mouth Disease (HFMD) outbreak occurred in Sarawak, Malaysia in 1997, the number of reported cases has remained in a cyclical pattern. Numerous HFMD research involve clinical and laboratory findings.
Noraishah Mohammad Sham +1 more
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Analysis of discrete data by Conway–Maxwell Poisson distribution [PDF]
AStA Advances in Statistical Analysis, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gupta, Ramesh C., Sim, S. Z., Ong, S. H.
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When is the Conway–Maxwell–Poisson distribution infinitely divisible? [PDF]
Statistics & Probability Letters, 2022 11 ...
Geng, Xi, Xia, Aihua
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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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A Conway–Maxwell–Poisson Type Generalization of Hypergeometric Distribution
Mathematics, 2023 The hypergeometric distribution has gained its importance in practice as it pertains to sampling without replacement from a finite population. It has been used to estimate the population size of rare species in ecology, discrete failure rate in ...
Sudip Roy +2 more
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Finite mixtures of mean-parameterized Conway–Maxwell–Poisson models
Statistical Papers, 2023 For modeling count data, the Conway-Maxwell-Poisson (CMP) distribution is a popular generalization of the Poisson distribution due to its ability to characterize data over- or under-dispersion. While the classic parameterization of the CMP has been well-studied, its main drawback is that it is does not directly model the mean of the counts.
Dongying Zhan, Derek S. Young
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Frontiers in Microbiology, 2021 Controlling harmful microorganisms, such as Listeria monocytogenes, can require reliable inactivation steps, including those providing conditions (e.g., using high salt content) in which the pathogen could be progressively inactivated.
Pierluigi Polese +2 more
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A New Conway Maxwell–Poisson Liu Regression Estimator—Method and Application
Journal of Mathematics, 2022 Poisson regression is a popular tool for modeling count data and is applied in medical sciences, engineering and others. Real data, however, are often over or underdispersed, and we cannot apply the Poisson regression. To overcome this issue, we consider
Muhammad Nauman Akram +5 more
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