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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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General Formulas for the Central and Non-Central Moments of the Multinomial Distribution [PDF]
We present the first general formulas for the central and non-central moments of the multinomial distribution, using a combinatorial argument and the factorial moments previously obtained in Mosimann (1962).
Frédéric Ouimet
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Characterizations of multinomial distributions based on conditional distributions [PDF]
Several characterizations of the joint multinomial distribution of two discrete random vectors are derived assuming conditional multinomial distributions.
Khoan T. Dinh +2 more
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Middle censoring in the multinomial distribution with applications. [PDF]
Jammalamadaka SR, Bapat SR.
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The limiting distributions of the multinomial distribution [PDF]
M. Fisz
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In this paper, a method of assessing and improving the reliability of power distribution systems based on Monte Carlo simulation and a novel risk priority index is proposed. The initialization of the assessment process is carried out by using Multinomial
Yuttana Dechgummarn +2 more
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Smoothed Dirichlet Distribution
When the cells are ordinal in the multinomial distribution, i.e., when cells have a natural ordering, guaranteeing that the borrowing information among neighboring cells makes sense conceptually.
Lahiru Wickramasinghe +2 more
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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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Asymptotic Distribution of Certain Types of Entropy under the Multinomial Law
We obtain expressions for the asymptotic distributions of the Rényi and Tsallis of order q entropies and Fisher information when computed on the maximum likelihood estimator of probabilities from multinomial random samples.
Andrea A. Rey +5 more
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