Sociobiology, 2013 Ants of the genera Atta and Acromyrmex (Myrmicinae: Attini) are in general pests for agricultural and pasture areas. In southwestern Bahia pastures, in Brazil, Acromyrmex landolti Forel occurs at intermediate densities of 260 nests ha-1.
Milton Rodrigues da Silva Júnior +5 more
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On the Accuracy of the Generalized Gamma Approximation to Generalized Negative Binomial Random Sums
Mathematics, 2021 We investigate the proximity in terms of zeta-structured metrics of generalized negative binomial random sums to generalized gamma distribution with the corresponding parameters, extending thus the zeta-structured estimates of the rate of convergence in ...
Irina Shevtsova, Mikhail Tselishchev
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Characterizations of Continuous Binomial and Negative Binomial Mixtures
Biometrical Journal, 1984 AbstractCharacterizations are given for binomial (n, ϑ) and negative binomial (k, ϑ) mixtures in terms of the regression function of the mixing random variableYon the mixture variableX.In both casesYis the parameter ϑ and the mixing distribution is a continuous distribution on (0, 1) and on (0, ∞) respectively. Biological applications are indicated.
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Migraine day frequency in migraine prevention: longitudinal modelling approaches
BMC Medical Research Methodology, 2019 Background Health economic models are critical tools to inform reimbursement agencies on health care interventions. Many clinical trials report outcomes using the frequency of an event over a set period of time, for example, the primary efficacy outcome ...
Gian Luca Di Tanna +7 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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Goodness-of-Fit Test for the Bivariate Negative Binomial Distribution
AxiomsWhen modeling real-world data, we face the challenge of determining which probability distribution best represents the data. To address this intricate problem, we rely on goodness-of-fit tests.
Francisco Novoa-Muñoz +1 more
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Nonparametric Bayesian Negative Binomial Factor Analysis
, 2017 A common approach to analyze a covariate-sample count matrix, an element of which represents how many times a covariate appears in a sample, is to factorize it under the Poisson likelihood. We show its limitation in capturing the tendency for a covariate
Zhou, Mingyuan
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A generalization of the negative binomial distribution
Journal of Biostatistics and Epidemiology, 2017 Background & Aim: Consider a sequence of independent Bernoulli trials with p denoting the probability of success at each trial. With this definition, the probability that the nth success proceed by r failures follows the negative binomial distribution ...
Maryam Nazemipour, Mahmood Mahmoudi
doaj
NBLDA: Negative Binomial Linear Discriminant Analysis for RNA-Seq Data
, 2015 RNA-sequencing (RNA-Seq) has become a powerful technology to characterize gene expression profiles because it is more accurate and comprehensive than microarrays. Although statistical methods that have been developed for microarray data can be applied to
Dong, Kai +3 more
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Estimation of safety performance functions for urban intersections using various functional forms of the negative binomial regression model and a generalized Poisson regression model [PDF]
, 2021 Muhammad Wisal Khattak +4 more
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