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Negative binomial distributions for point processes
Stochastic Processes and their Applications, 1984 AbstractNegative binomial point processes are defined for which all finite-dimensional distributions associated with disjoint bounded Borel sets are negative binomial in the usual sense. For these processes we study classical notions such as infinite divisibility, conditional distributions, Palm probabilities, convergence, etc.
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NEGATIVE BINOMIAL APPROXIMATION TO THE BETA BINOMIAL DISTRIBUTION [PDF]
International Journal of Pure and Apllied Mathematics, 2015 This paper determines a bound on the approximation of the beta binomial distribution with parameters n, andby a negative binomial distri- bution with parametersand + + +n . With this bound, it is indicated that the beta binomial distribution can be well approximated by the negative binomial distribution whenis large.
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Applying Negative Binomial Distribution in Diagnostic Classification Models for Analyzing Count Data. [PDF]
Appl Psychol Meas, 2023 Liu R, Heo I, Liu H, Shi D, Jiang Z.
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Use of negative binomial distribution to describe the presence of Anisakis in Thyrsites atun.
Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria, 2012 Nematodes of the genus Anisakis have marine fishes as intermediate hosts. One of these hosts is Thyrsites atun, an important fishery resource in Chile between 38 and 41° S.
P. Peña-Rehbein +1 more
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A characterization of the binomial and negative binomial distribution by regression of products
Metrika, 1993 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Weighted negative binomial-Poisson Lindley with application to genetic data
Journal of Biostatistics and Epidemiology, 2018 Background & Aim: Mixed Poisson and mixed negative binomial distributions have been considered as alternatives for fitting count data with over-dispersion.
Hossein Zamani +2 more
doaj
BMC Infectious Diseases, 2019 Background In current epidemiology of tuberculosis (TB), heterogeneity in infectiousness among TB patients is a challenge, which is not well studied. We aimed to quantify this heterogeneity and the presence of “super-spreading” events that can assist in ...
Yayehirad A. Melsew +6 more
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Generalized Negative Binomial Processes and the Representation of Cluster Structures [PDF]
, 2013 The paper introduces the concept of a cluster structure to define a joint distribution of the sample size and its exchangeable random partitions. The cluster structure allows the probability distribution of the random partitions of a subset of the sample
Zhou, Mingyuan
core
Estimation for the bivariate negative binomial distribution
Journal of Statistical Computation and Simulation, 1985 Subrahmaniam and Subrahmaniam (1973) have considered several estimation procedures for the parameters of the bivariate negative binomial distribution. In this paper even-point estimators are examined and relative comparisons with maximum likelihood, moment and zero-zero cell frequency estimators are given.
Loukas, S., Papageorgiou, H.
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THE NEGATIVE BINOMIAL-ERLANG DISTRIBUTION WITH APPLICATIONS
, 2014 This paper introduces a new three-parameter of the mixed negative binomial distribution which is called the negative binomial-Erlang distribution. This distribution obtained by mixing the negative binomial distribution with the Erlang distribution.
Siriporn Kongrod +2 more
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