Binomial Distribution

Known as: Binomial Distributions, Distribution, Binomial, Distributions, Binomial 
A family of discreet probability density functions, which models systems that meet the following requirements: 1) the number of trials (n) is fixed… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1948-2017
05010019482016

Papers overview

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2011
2011
A Poisson process is a commonly used starting point for modeling stochastic variation of ecological count data around a… (More)
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Highly Cited
2008
Highly Cited
2008
OBJECTIVE When studies report proportions such as sensitivity or specificity, it is customary to meta-analyze them using the… (More)
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2005
Highly Cited
2005
Recently, Gillespie introduced the tau-leap approximate, accelerated stochastic Monte Carlo method for well-mixed reacting… (More)
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2005
2005
We prove that the generalized Poisson distribution GP(theta, eta) (eta > or = 0) is a mixture of Poisson distributions; this is a… (More)
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Highly Cited
2000
Highly Cited
2000
In a 1992 Technometrics paper, Lambert (1992, 34, 1-14) described zero-inflated Poisson (ZIP) regression, a class of models for… (More)
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2000
2000
We present a spatial model for the mean and correlation of highly dispersed count data, and apply it to individual-level counts… (More)
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1996
1996
To understand the nature of distribution of schistosoma japonicum (S. japonicum) eggs in stool of the infected individuals, it is… (More)
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Highly Cited
1988
Highly Cited
1988
The log-rank test is frequently used to compare survival curves. While sample size estimation for comparison of binomial… (More)
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Highly Cited
1978
Highly Cited
1978
Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org… (More)
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Highly Cited
1971
Highly Cited
1971
The assumptions underlying the use of the Poisson distribution are essentially that the probability of an event is small but… (More)
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