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HMMTree: A Computer Program for Latent-Class Hierarchical Multinomial Processing Tree Models
Behavior Research Methods, 2007Christoph Stahl
exaly
Moments of the Negative Multinomial Distribution
The negative multinomial distribution appears in many areas of applications such as polarimetric image processing and the analysis of longitudinal count data.
Frédéric Ouimet
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Bayesian Estimation of Ammunition Demand Based on Multinomial Distribution
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
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Occupancy Statistics and Entropy in Bose Systems [PDF]
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
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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
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Markov Cohort State-Transition Model: A Multinomial Distribution Representation. [PDF]
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
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Testing of Hypotheses on a Multivariate Population: Some of the Variates Being Continuous and the Rest Categorical [PDF]
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
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