Results 211 to 220 of about 114,090 (262)

Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions

Sankhya A, 2022
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Arnab Kumar Maity, Erina Paul
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Characterizations and generalizations of the negative binomial distribution

Computational Statistics, 2021
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Katiane S. Conceição, Marinho Gomes Andrade, Francisco Louzada 0001, Nalini Ravishanker   +3 more
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The Negative Binomial Distribution

The Statistician, 1985
This note sketches a biological context for the negative binomial distribu- tion, gives some of the many equivalent mathematical notations that have been used for the negative binomial probabilities, and discusses the use of the computer program MLP (the Maximum Likelihood Program) for fitting negative binomial distributions to data.
G. J. S. Ross, D. A. Preece
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THE TRUNCATED NEGATIVE BINOMIAL DISTRIBUTION

Biometrika, 1955
(1920), Fisher (1941), Haldane (1941), Anscoinbe (1950) and Bliss & Fisher (1953), and is extensively used for the description of data too heterogeneous to be fitted by a Poisson distribution. Observed samples, however, may be truncated, in the sense that the number of individuals falling into the zero class cannot be determined.
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Fitting the Negative Binomial Distribution

Biometrics, 1986
This note is a reaction to recent papers in this journal by Willson, Folks, and Young (1984) and Bowman (1984). For the biometrical analysis of certain kinds of observations, such as insect counts, accident counts, or cave entrance counts, when only nonnegative integers are observable, it is expedient to restrict attention to those random variables ...
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Generalized Negative Binomial Distributions

Journal of Statistical Physics, 2000
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Truncated Binomial and Negative Binomial Distributions

Journal of the American Statistical Association, 1955
(1955). Truncated Binomial and Negative Binomial Distributions. Journal of the American Statistical Association: Vol. 50, No. 271, pp. 877-883.
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Minimax Estimation of the Parameter of a Negative Binomial Distribution

Automation and Remote Control, 2021
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V. V. Morozov, M. A. Syrova
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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.
Consul, P. C., Famoye, F.
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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
, D'Souza, , Mishra
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