Results 151 to 160 of about 170,115 (204)

The Poisson CUSUM Chart for Monitoring Small Counts: Addressing the Estimation Uncertainty. [PDF]

Biom J
Heidema S, Stoepker IV, Huits R, Heuvel ERVD.   +3 more
europepmc   +1 more source

Spiking neural models for decision-making tasks with learning. [PDF]

J Math Biol
Jaffard S, Mezzadri G, Reynaud-Bouret P, Tanré E.   +3 more
europepmc   +1 more source

Estimation of spatiotemporal poisson processes with missing data. [PDF]

Sci Rep
Guigues V, Kleywegt A, Nascimento VH, de Andrade LR.   +3 more
europepmc   +1 more source

Effect of droplet size on the encapsulation efficiency of microparticles in passive microfluidic systems. [PDF]

Biomed Microdevices
Fujita R, Kobayashi M, Tanii T, Furuya M, Shoji S, Tanaka D.   +5 more
europepmc   +1 more source

Bounds for survival probabilities in supercritical Galton-Watson processes and applications to population genetics. [PDF]

J Math Biol
Bürger R.
europepmc   +1 more source

Building the model: a review of input structures in extreme temperature-health. [PDF]

Environ Health
D'Ausilio D, Ellena M, Reder A, Pugliese A, Mercogliano P.   +4 more
europepmc   +1 more source

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Poisson on the poisson distribution

Statistics & Probability Letters, 1982
Abstract A translation of the totality of Poisson's own 1837 discussion of the Poisson distribution is presented, and its relation to earlier work of De Moivre is briefly noted.
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The Poisson Pascal Distribution

Biometrics, 1961
Elementary distributions such as the Poisson, the Logarithmic and the Binomial which can be formulated on the basis of simple models have been found to be inadequate to describe the situations which occur in a number of phenomena. The Neyman Type A (cf. Evans [5]), the Negative Binomial (cf. Bliss and Fisher [3]), and the Poisson Binomial (cf.
Katti, S., Gurland, J.
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Poisson distributions

Computing in Science & Engineering, 2001
Scientists and engineers often use Poisson's probability distribution to characterize the statistics of rare events whose average number is small. Using it correctly is crucial if we are to validate claims of discovery of new phenomena, such as a new fundamental particle (few candidate collision events among millions), a remote galaxy (few photons in ...
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The Altham–Poisson distribution

Statistical Modelling, 2015
The multiplicative binomial model was introduced as a generalization of the binomial distribution for modelling correlated binomial data. This distribution has not been extensively explored and is revisited in the present study. Some properties of the multiplicative binomial distribution, such as, expressions for the factorial moments and the ...
Leask, Kerry L., Haines, Linda M.
openaire   +1 more source