Correction: Individual and community-level determinants of knowledge of obstetric danger signs among women in Southern Ethiopia: A multi-level mixed effect negative binomial analysis. [PDF]
Yoseph A +5 more
europepmc +1 more source
Associations between taxi drivers' aggressive driving behavior and sleep, cognition, and psychological factors in Korea: negative binomial regression analysis. [PDF]
Ok JS, Kim H, An SY, Kim MY.
europepmc +1 more source
Confidence intervals and prediction intervals for two-parameter negative binomial distributions. [PDF]
Hasan MM, Krishnamoorthy K.
europepmc +1 more source
On Negative Binomial Approximation
This paper deals with negative binomial approximation to sums of independent ${\bf Z}_+$-valued random variables. Stein's method is employed to obtain the error bounds. Convolution of negative binomial and Poisson distribution is used as a three-parametric approximation.
Vydas Čekanavičius +2 more
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A Simple Approximation to the Negative Binomial (and Regular Binomial)
Technometrics, 1972An approximation for negative binomial sums involving a minimum of arithmetic is presented. Because of the relationship between negative binomial sums and regular binomial sums the approximation can be used for the latter also and for any distribution related to the binomial (such as the beta and F). The accuracy obtained is surprisingly good.
William C Guenther
exaly +2 more sources
Jeffreys Prior for Negative Binomial and Zero Inflated Negative Binomial Distributions
Sankhya A, 2022zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab Kumar Maity, Erina Paul
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A Generalized Negative Binomial Distribution
SIAM Journal on Applied Mathematics, 1971A generalized negative binomial (GNB) distribution with an additional parameter $\beta $ has been obtained by using Lagrange’s expansion. The parameter is such that both mean and variance tend to increase or decrease with an increase or decrease in its value but the variance increases or decreases faster than the mean.
Jain, G. C., Consul, P. C.
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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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On the generalization of negative binomial distribution
Statistics & Probability Letters, 2004zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shishebor, Z., Towhidi, M.
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