Results 21 to 30 of about 370,919 (284)
On large deviations for the negative binomial law
Lietuvos Matematikos Rinkinys, 1998 There is not abstract.
Pranas Vaitkus, Vydas Čekanavičius
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Disease Mapping via Negative Binomial Regression M-quantiles [PDF]
, 2013 We introduce a semi-parametric approach to ecological regression for disease mapping, based on modelling the regression M-quantiles of a Negative Binomial variable. The proposed method is robust to outliers in the model covariates, including those due to
Chambers, Ray +2 more
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Analysis of Cumulant Moments in High Energy Hadron-Hadron Collisions by Truncated Multiplicity Distributions [PDF]
, 1996 Oscillatory behavior of cumulant moments obtained from the experimental data in $pp$ collisions and $\bar{p}p$ collisions are analyzed by the modified negative binomial distribution (MNBD) and the negative binomial distribution (NBD).
A. Breakstone +16 more
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BMC Public Health, 2023 Background Choosing appropriate models for count health outcomes remains a challenge to public health researchers and the validity of the findings thereof.
A. F. Fagbamigbe +2 more
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On a flexible construction of a negative binomial model [PDF]
, 2019 This work presents a construction of stationary Markov models with negative-binomial marginal distributions. A simple closed form expression for the corresponding transition probabilities is given, linking the proposal to well-known classes of birth and ...
Leisen, Fabrizio +3 more
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Negative Binomial and Multinomial States: probability distributions and coherent states [PDF]
, 1996 Following the relationship between probability distribution and coherent states, for example the well known Poisson distribution and the ordinary coherent states and relatively less known one of the binomial distribution and the $su(2)$ coherent states ...
Fu, Hong-Chen, Sasaki, Ryu
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Estimation Parameters And Modelling Zero Inflated Negative Binomial
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2016 Regression analysis is used to determine relationship between one or several response variable (Y) with one or several predictor variables (X). Regression model between predictor variables and the Poisson distributed response variable is called Poisson ...
Cindy Cahyaning Astuti +1 more
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BMC Medical Research Methodology, 2023 Background Fractures are rare events and can occur because of a fall. Fracture counts are distinct from other count data in that these data are positively skewed, inflated by excess zero counts, and events can recur over time.
Anower Hossain +5 more
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PENANGANAN OVERDISPERSI PADA REGRESI POISSON
Jurnal Lebesgue, 2021 Penyakit demam berdarah dengue (DBD) telah menjadi penyakit endemik di kota-kota besar di Indonesia. Angka kejadian DBD merupakan data diskrit (count) yang mengikuti distribusi Poisson.
Marta Sundari +1 more
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Binomial Difference Ideal and Toric Difference Variety [PDF]
, 2015 In this paper, the concepts of binomial difference ideals and toric difference varieties are defined and their properties are proved. Two canonical representations for Laurent binomial difference ideals are given using the reduced Groebner basis of Z[x ...
Gao, Xiao-Shan +2 more
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