Sequence count data are poorly fit by the negative binomial distribution. [PDF]
Sequence count data are commonly modelled using the negative binomial (NB) distribution. Several empirical studies, however, have demonstrated that methods based on the NB-assumption do not always succeed in controlling the false discovery rate (FDR) at ...
Stijn Hawinkel +3 more
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A note on negative λ-binomial distribution [PDF]
In this paper, we introduce one discrete random variable, namely the negative λ-binomial random variable. We deduce the expectation of the negative λ-binomial random variable.
Yuankui Ma, Taekyun Kim
doaj +4 more sources
On hypergeometric generalized negative binomial distribution [PDF]
It is shown that the hypergeometric generalized negative binomial distribution has moments of all positive orders, is overdispersed, skewed to the right, and leptokurtic.
M. E. Ghitany +2 more
doaj +4 more sources
An Exponential-Negative Binomial Distribution
A new three-parameter distribution is proposed for modeling lifetime data. It is advocated as most reasonable among the many exponential mixture type distributions proposed in recent years.
Sadegh Rezaei , Saralees Nadarajah
doaj +2 more sources
Power laws in preferential attachment graphs and Stein's method for the negative binomial distribution [PDF]
For a family of linear preferential attachment graphs, we provide rates of convergence for the total variation distance between the degree of a randomly chosen vertex and an appropriate power law distribution as the number of vertices tends to ∞.
Nathan T. Ross
openalex +3 more sources
Use of a negative binomial distribution to describe the presence of Sphyrion laevigatum in Genypterus blacodes [PDF]
This paper describes the frequency and number of Sphyrion laevigatum in the skin of Genypterus blacodes, an important economic resource in Chile. The analysis of a spatial distribution model indicated that the parasites tended to cluster.
Patricio Peña-Rehbein +3 more
doaj +2 more sources
THE NEGATIVE BINOMIAL DISTRIBUTION [PDF]
Ronald Aylmer Fisher
openaire +4 more sources
On a Characterization of Zero-Inflated Negative Binomial Distribution
Zero-inflated negative binomial distribution is characterized in this paper through a linear differential equation satisfied by its probability generating function.
Renukappa Suresh +3 more
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A weighted negative binomial Lindley distribution with applications to dispersed data
A new discrete distribution is introduced. The distribution involves the negative binomial and size biased negative binomial distributions as sub-models among others and it is a weighted version of the two parameter discrete Lindley distribution.
HASSAN S BAKOUCH
doaj +2 more sources
Linking parasite populations in hosts to parasite populations in space through Taylor's law and the negative binomial distribution. [PDF]
Cohen JE, Poulin R, Lagrue C.
europepmc +2 more sources

