Results 211 to 220 of about 527,484 (266)

The Non‐Central Negative Binomial Distribution

Biometrical Journal, 1979
AbstractThe non‐central negative binomial distribution is derived by mixing the POISSONdistribution with a certain BESSELfunction distribution, or the negative binomial distribution with the POISSONdistribution. Some properties of the distribution are discussed, including a characterization.
Seng Huat Ong, P. A. Lee
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ON THE UNIMODALITY OF THE GENERALIZED NEGATIVE BINOMIAL DISTRIBUTION

Statistica Neerlandica, 1986
Abstract.It is shown that the generalized negative binomial distribution which is useful in random walks, queueing theory and branching processes is unimodal. When nθ(1 –θ)β‐1 > 1, the mode is not at the pointx= 0 and for that case, the lower and the upper bounds of the mode are obtained.
P.C. Consul, Felix Famoye
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Testing for homogeneity: The negative binomial distribution

Biometrika, 1980
SUMMARY A locally most powerful similar test is constructed for testing the homogeneity of r+ 1 negative binomial series against a general class of alternatives. Approximations to the distribution of the test statistic under the null hypothesis are given.
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The Order Statistics of the Negative Binomial Distribution

Biometrika, 1970
SUMMARY The order statistics of independent random variables each having the same negative binomial distribution are discussed. Recurrence relations for probability generating functions and moments of the distributions of the order statistics are given. These have been used to provide tables of the expected values of the order statistics.
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A Note on the Negative Binomial Distribution

Technometrics, 1962
(1962). A Note on the Negative Binomial Distribution. Technometrics: Vol. 4, No. 4, pp. 609-610.
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Quasiprobability distributions of negative binomial states

Physical Review A, 1992
We present the s-parametrized quasiprobability distributions for the negative binomial states. Marked changes in the quasiprobability distributions W(α,e,s) are exhibited by states that are close to the random-phase coherent state (e=0), as the parameter s is varied continuously from s=-1, corresponding to the Q function, to s=1, corresponding to the P
Richard D’Souza, Adya P. Mishra
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On the generalized negative binomial distribution

Communications in Statistics - Theory and Methods, 1995
The generalized negative binomial distribution (GNBD) was defined and studied by Jain and Consul (1971). The GNBD model has been found useful in many fields such as random walk, queuing theory, branching processes and polymerization reaction in chemistry. In this paper, four methods by which the GNBD model gets generated are discussed.
P.C. Consul, Felix Famoye
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A new bivariate negative binomial distribution

Naval Research Logistics Quarterly, 1981
AbstractA new bivariate negative binomial distribution is derived by convoluting an existing bivariate geometric distribution; the probability function has six parameters and admits of positive or negative correlations and linear or nonlinear regressions. Given are the moments to order two and, for special cases, the regression function and a recursive
C. R. Mitchell, Albert S. Paulson
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Characterization of the Negative Binomial and Gamma Distributions

Biometrical Journal, 1995
AbstractCharacterization of the negative binomial and gamma distributions by a conditional distribution and a linear regression, and the gamma distribution by the negative binomial distribution are given. An application to a random shock model is discussed.
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CUSUM and EWMA Control Charts for Negative Binomial Distribution

Quality and Reliability Engineering International, 2017
Pablo Urbieta, L. Ho, A. Alencar
semanticscholar   +1 more source