Results 21 to 30 of about 110,813 (305)
A Modified Negative Binomial Distribution: Properties, Overdispersion and Underdispersion
Journal of Statistical Theory and Applications (JSTA), 2019 In this paper, we introduce a new and useful discrete distribution (modified negative binomial distribution) and its statistical and probabilistic properties are discussed.
Ghobad Barmalzan +2 more
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An improved bound for negative binomial approximation with -functions
AKCE International Journal of Graphs and Combinatorics, 2017 In this article, we use Stein’s method together with -functions to give an improved bound for the total variation distance between the distribution of a non-negative integer-valued random variable and the negative binomial distribution with parameters ...
K. Teerapabolarn
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Bühlmann's Credibility Model with Claims of Negative Binomial and 2-Poisson Distribution
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2023 One of the premium determination techniques is to use credibility theory. In this study, a credibility premium determination model was derived with the best accuracy approach in the form of Bühlmann’s credibility premium.
Ikhsan Maulidi, Vina Apriliani
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Bayesian geostatistical prediction of the intensity of infection with Schistosoma mansoni in East Africa. [PDF]
, 2006 A Bayesian geostatistical model was developed to predict the intensity of infection with Schistosoma mansoni in East Africa. Epidemiological data from purpose-designed and standardized surveys were available for 31,458 schoolchildren (90% aged between 6 ...
Moyeed, R, Clements, ACA, Brooker, S
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How many strong earthquakes will there be tomorrow?
Frontiers in Applied Mathematics and Statistics, 2023 In this note, we study the distribution of earthquake numbers in both worldwide and regional catalogs: in the Global Centroid Moment Tensor catalog, from 1980 to 2019 for magnitudes Mw 5.
Matteo Taroni +3 more
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Double Generalized Beta-Binomial and Negative Binomial Regression Models
Revista Colombiana de Estadística, 2017 Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data.
EDILBERTO CEPEDA-CUERVO +1 more
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Zhongguo gonggong weisheng, 2022 ObjectiveTo compare differences among the results of utilizing Poisson distribution, quasi-Poisson distribution, and negative binomial distribution in the generalized additive model (GAM) analysis on the association of ambient air ozone (O3) with ...
Zheng-rong GU, Xin-yu WANG, Hui XU
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Frontiers in Psychology, 2017 Statistical analysis is crucial for research and the choice of analytical technique should take into account the specific distribution of data. Although the data obtained from health, educational, and social sciences research are often not normally ...
Roser Bono +5 more
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An Overview of Modern Applications of Negative Binomial Modelling in Ecology and Biodiversity
Diversity, 2022 Negative binomial modelling is one of the most commonly used statistical tools for analysing count data in ecology and biodiversity research. This is not surprising given the prevalence of overdispersion (i.e., evidence that the variance is greater than ...
Jakub Stoklosa +2 more
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Entropy, 2022 We developed a quantum scheme of two atoms (TAs) and field initially in a negative binomial state (NBS). We displayed and discussed the physical implications of the obtained results in terms of the physical parameters of the model.
Kamal Berrada +3 more
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