Results 21 to 30 of about 1,308 (195)
Extended Poisson INAR(1) processes with equidispersion, underdispersion and overdispersion [PDF]
Journal of Applied Statistics, 2018 20 pages, 3 ...
Marcelo Bourguignon +2 more
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Climatic refugia and reduced extinction correlate with underdispersion in mammals and birds in Africa. [PDF]
Ecol Evol, 2022 Macroevolutionary patterns, often inferred from metrics of community relatedness, are often used to ascertain major evolutionary processes shaping communities.
Cooper JC +3 more
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A Semiparametric Approach to Test for the Presence of INAR: Simulations and Empirical Applications
Mathematics, 2022 The present paper explores the application of bootstrap methods in testing for serial dependence in observed driven Integer-AutoRegressive (models) considering Poisson arrivals (P-INAR).
Lucio Palazzo, Riccardo Ievoli
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Multilevel Modeling on Underdispersion Data [PDF]
, 2023 Binomial negative regression is able to handle poisson regression problem with underdispersion assumption. When the data has hierarchy and level that need to be calculated, regression is no longer appropriate to solve this problem, therefore binomial ...
Rarasati, Niken +3 more
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Mathematics, 2023 The Laney p′ control chart is a new type of attribute control chart that can be applied in situations where the process exhibits either overdispersion or underdispersion.
Pei-Wen Chen +2 more
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Generalised Poisson Distributions for Modelling Parity [PDF]
, 2021 Conventional parametric count distributions, namely the Poisson and Negative-Binomialmodels, do not offer satisfactory descriptions of empirical distributions of completed cohortparity.
Barakat, Bilal Fouad
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Flexible models for overdispersed and underdispersed count data [PDF]
Statistical Papers, 2021 AbstractWithin the framework of probability models for overdispersed count data, we propose the generalized fractional Poisson distribution (gfPd), which is a natural generalization of the fractional Poisson distribution (fPd), and the standard Poisson distribution.
Dexter Cahoy +2 more
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cpd: An R Package for Complex Pearson Distributions
Mathematics, 2022 The complex Pearson (CP) distributions are a family of probability models for count data generated by the Gaussian hypergeometric function with complex arguments.
María José Olmo-Jiménez +2 more
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Generalised score distribution: underdispersed continuation of the beta-binomial distribution
Statistical Papers, 2023 AbstractConsider a class of discrete probability distributions with a limited support. A typical example of such support is some variant of a Likert scale, with a response mapped to either the $$\{1, 2, \ldots , 5\}$$ { 1 , 2 ,
Bogdan Ćmiel +3 more
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On Arbitrarily Underdispersed Discrete Distributions
The American Statistician, 2022 We survey a range of popular generalized count distributions, investigating which (if any) can be arbitrarily underdispersed, that is, its variance can be arbitrarily small compared to its mean. A philosophical implication is that some models failing this simple criterion should not be considered as “statistical models” according to McCullagh’s ...
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