Results 231 to 240 of about 96,366 (253)

Negative multinomial distribution

Annals of the Institute of Statistical Mathematics, 1964
This paper reviews properties of the negative multinomial distribution and some related distributions. On the negative binomial distribution (NBn) much has been wri t ten and the contributions were summarized in two recent survey reports ([3], [9]). In the course of researches on the NBn its multivariate extension has been tried.
Masaaki Sibuya, Isao Yoshimura, Ryoichi Shimizu   +2 more
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On the Compound Negative Multinomial Distribution and Correlations Among Inversely Sampled Pollen Counts

Biometrika, 1963
INTRODUCTION In the generalization of Bernoulli trials where we have k possible outcomes of each trial, k let the probability of the ith outcome in each trial be pi (i = 1,...,k) where Pi= 1. i=l For a fixed number of trials (n), the probability of exactly x1 occurrences of outcome 1, x2 of 2, ..., Xk of k is given by the multinomial distribution.
James E. Mosimann
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On the non-existence of ml estimates in the negative multinomial distributions derived from nonstationary poisson processes

Communications in Statistics - Theory and Methods, 1996
Lenk, Rao and Tibrewala (1993) have introduced a Negative Multinomial Distribution derived from a nonstationary Poisson process with intensity function , which incorporates marketing mix variables. It is shown that under certain conditions, the maximum likelihood estimates of the parameters of the proposed model do not exist.
J. K. Ghorai, Sanjoy Ghose
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Conditionally negative association resulting from multinomial distribution

Statistics & Probability Letters, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Demei Yuan, Jianhua Zheng
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Integral expressions for tail probabilities of the negative multinomial distribution

Annals of the Institute of Statistical Mathematics, 1975
An alternative simple derivation is given for some integral expressions for tail probabilities of the negative multinomial distribution obtained by Olkin & Sobel [3] inBiometrika. The new derivation is based on the fact that the negative multinomial distribution is a certain mixture of the multiple Poisson distribution and on a well known integral ...
S. W. Joshi
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Maximum Simulated Likelihood Estimation of a Negative Binomial Regression Model with Multinomial Endogenous Treatment

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Partha Deb
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Application of a Negative Multinomial Model Gives Insight into Rarity-Area Relationships

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Youhua Chen, Weihua Chen, Tian Zhao
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Maximum likelihood estimation for the negative multinomial log-linear model

Communications in Statistics - Theory and Methods, 1989
Douglas G Bonett
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Empirical Bayes method in the study of traffic safety via heterogeneous negative multinomial model

Transportmetrica, 2012
Simon P Washington
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