Results 81 to 90 of about 4,831,865 (201)
A Characterization of the Negative Multinomial Distribution [PDF]
This paper deals with a characterization of the negative multinomial distribution. It is based on the assumption that the conditional distribution of two random vectors is multivariate inverse hypergeometric.
Panaretos, John
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Puntos máximos de una distribución multinomial [PDF]
En este artículo se caracteriza el punto donde la distribución multinomial alcanza la probabilidad máxima.In this article characterizes the point where the distribution multinomial achieves the maximum ...
Valencia Angulo, Edgar Alirio +2 more
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Bayesian Inference in the Multinomial Logit Model
The multinomial logit model (MNL) possesses a latent variable representation in terms of random variables following a multivariate logistic distribution.
Sylvia Frühwirth-Schnatter +1 more
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Monotonicity Properties of the Multinomial Distribution
Let $X = (X_1, \cdots, X_k)$ have the multinomial distribution, given by \begin{equation*} \tag{0.1} \operatorname{Pr}\{X = x\} = n!\prod^k_{i=1} (p^{xi}_i/(x_i!))\end{equation*} where $x = (x_1, \cdots, x_k), \sum^k_{i=1} x_i = n$ and $\sum^k_{i=1}p_i = 1$, and let \begin{equation*} \tag{0.2} C(p_1, \cdots, p_m) = \operatorname{Pr}\{X_i \geqq s_i; i =
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Confidence intervals for parameters of multinomial distribution [PDF]
Title: Confidence intervals for parameters of multinomial distribution Author: Kamila Bárnetová Department: Department of Probability and Mathematical Statistics Supervisor: prof. RNDr.
Bárnetová, Kamila
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Iterative distributed multinomial regression
This article introduces an iterative distributed computing estimator for the multinomial logistic regression model with large choice sets. Compared to the maximum likelihood estimator, the proposed iterative distributed estimator achieves significantly faster computation and, when initialized with a consistent estimator, attains asymptotic efficiency ...
Yanqin Fan, Yigit Okar, Xuetao Shi
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Middle censoring in the multinomial distribution with applications. [PDF]
Jammalamadaka SR, Bapat SR.
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The modes of a negative multinomial distribution
In this paper, we show how the mode(s) of a negative multinomial distribution can be computed using some results obtained for the determination of the mode(s) of a Multinomial distribution (Le Gall, F., 2003.
Gall, Françoise Le
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A new derivation of eigenvalue inequalities for the multinomial distribution
International audienceWe consider the covariance matrix of the multinomial distribution. We suggest a new derivation of inequalites for the eigenvalues of this matrix using a classical result on the product of two positive semi-definite ...
Bénasséni, Jacques
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Description of Dirichlet-multinomial parameters.
Intuitive description of the meaning of the overdispersion parameter . The four plots show the taxa frequencies for each of the five hypothetical samples (dashed lines) with 12 taxa in each sample, and the corresponding weighted average across the five ...
David J. Edwards (109807) +8 more
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