Measured PET Data Characterization with the Negative Binomial Distribution Model. [PDF]
J Med Biol Eng, 2017 Santarelli MF, Positano V, Landini L.
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Confidence Intervals for Asbestos Fiber Counts: Approximate Negative Binomial Distribution. [PDF]
Ann Work Expo Health, 2017 Bartley D, Slaven J, Harper M.
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Revista Colombiana de Estadística, 2009 When analyzing data in the presence of over dispersion, the usual practice is to assume a common dispersion parameter to all observations. However, there are situations where the assumption of homogeneity of the dispersion parameter does not hold.
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<b>Modeling citrus huanglongbing data using a zero-inflated negative binomial distribution [PDF]
, 2016 Eudmar Paiva de Almeida +5 more
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Characterizations of the Extended Geometric, Harris, Negative Binomial and Gamma Distributions
, 2005 E Sandhya +3 more
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Fitting the truncated negative binomial distribution to count data
Environmental and Ecological Statistics, 2016 C. Manté +3 more
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Testing for Overdispersion in a Bivariate Negative Binomial Distribution Using Bootstrap Method
, 2008 Myoungshic Jhun, Byoung-Cheol Jung
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Analyses of multiplicity distributions and Bose-Einstein correlations at the LHC using negative binomial distribution and generalized Glauber-Lachs formula [PDF]
, 2018 M. Biyajima, Takuya Mizoguchi
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Error Analysis on the Generalized Negative Binomial Distribution
, 2011 Felix Famoye, Oluwakemi Aremu
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