Results 211 to 220 of about 144,564 (262)

Number of tetanus toxoid injections before birth and associated factors among pregnant women in low and middle income countries: Negative binomial poisson regression. [PDF]

open access: yesHum Vaccin Immunother
Zegeye AF   +12 more
europepmc   +1 more source

On Negative Binomial Approximation

Theory of Probability and Its Applications, 2013
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.
P Vellaisamy   +2 more
exaly   +3 more sources

A Simple Approximation to the Negative Binomial (and Regular Binomial)

Technometrics, 1972
An 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, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arnab Kumar Maity, Erina Paul
openaire   +2 more sources

A Generalized Negative Binomial Distribution

SIAM Journal on Applied Mathematics, 1971
A 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.
openaire   +2 more sources

On the generalization of negative binomial distribution

Statistics & Probability Letters, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shishebor, Z., Towhidi, M.
openaire   +1 more source

The Hyper‐Negative Binomial Distribution

Biometrical Journal, 1987
AbstractA generalized family of the negative binomial distribution is introduced in a paper by Srivastava, Yousry and Ahmed (1986). It is a solution of the difference equation equation image and is called the hyper‐negative binomial distribution. Certain properties including the moments of the distribution are presented.
Yousry, M. A., Srivastava, R. C.
openaire   +1 more source

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.
openaire   +1 more source

Statistical Inference Involving Binomial and Negative Binomial Parameters

The Spanish journal of psychology, 2009
Statistical inference about two binomial parameters implies that they are both estimated by binomial sampling. There are occasions in which one aims at testing the equality of two binomial parameters before and after the occurrence of the first success along a sequence of Bernoulli trials. In these cases, the binomial parameter before the first success
Miguel A, García-Pérez   +1 more
openaire   +2 more sources

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