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Moments of the Negative Multinomial Distribution

open access: yesMathematical and Computational Applications, 2023
The negative multinomial distribution appears in many areas of applications such as polarimetric image processing and the analysis of longitudinal count data.
Frédéric Ouimet
doaj   +4 more sources

Bayesian Estimation of Ammunition Demand Based on Multinomial Distribution

open access: yesDiscrete Dynamics in Nature and Society, 2021
In view of the small sample size of combat ammunition trial data and the difficulty of forecasting the demand for combat ammunition, a Bayesian inference method based on multinomial distribution is proposed.
Kang Li   +4 more
doaj   +2 more sources

Occupancy Statistics and Entropy in Bose Systems [PDF]

open access: yesEntropy
In this work, we compare three formulations of thermodynamic entropy for a non-interacting bosonic gas: (i) the grand-canonical Bose–Einstein entropy, (ii) the finite-N canonical entropy obtained from the exact partition function (Ziff, Uhlenbeck, and ...
Arnaldo Spalvieri
doaj   +2 more sources

Multinomial Logit Models With Continuous and Discrete Individual Heterogeneity in R: The Gmnl Package

open access: yesJournal of Statistical Software, 2017
This paper introduces the package gmnl in R for estimation of multinomial logit models with unobserved heterogeneity across individuals for cross-sectional and panel (longitudinal) data.
Mauricio Sarrias, Ricardo Daziano
exaly   +3 more sources

Markov Cohort State-Transition Model: A Multinomial Distribution Representation. [PDF]

open access: yes, 2022
HIGHLIGHTS A Markov model simulates the average experience of a cohort of patients.Monte Carlo simulation, the standard approach for estimating the variance, is computationally expensive.A multinomial distribution provides an exact representation of a
Berns, Cassandra   +3 more
core   +3 more sources

Testing of Hypotheses on a Multivariate Population: Some of the Variates Being Continuous and the Rest Categorical [PDF]

open access: yesThe Egyptian Statistical Journal, 1958
We consider a (k+1)-variate distribution in which k variates are continuous and I variate are categorical. The k variates are assumed to have a conditional multivariate normal distribution with respect to the I categorical variates which are assumed to ...
M. Moustafa
doaj   +1 more source

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