Results 21 to 30 of about 1,170 (203)
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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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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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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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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Generalized mixed linear modeling approach to analyze nodulation in common bean inbred lines [PDF]
Pesquisa Agropecuária Brasileira, 2017 : The objective of this work was to compare distributions for the modeling of the number and dry matter weight of nodules (DWN) of Rhizobium from different inoculants in common bean (Phaseolus vulgaris) inbred lines subjected to nitrogen doses, as well ...
Diego Ary Rizzardi +5 more
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Multilevel Modeling on Underdispersion Data
, 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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A Weighted Poisson Distribution for Underdispersed Count Data
International Journal of Statistics and Probability, 2021 In this paper, we present a new weighted Poisson distribution for modeling underdispersed count data. Weighted Poisson distribution occurs naturally in contexts where the probability that a particular observation of Poisson variable enters the sample gets multiplied by some non-negative weight function.
Chedly Gelin Louzayadio +2 more
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Estimating polymorphic growth curve sets with nonchronological data
Ecology and Evolution, 2020 When we collect the growth curves of many individuals, orderly variation in the curves is often observed rather than a completely random mixture of various curves.
Kai Moriguchi
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