Results 21 to 30 of about 6,558,196 (374)
On the Lukacs property for free random variables [PDF]
The Lukacs property of the free Poisson distribution is studied here. We prove that if free $\X$ and $\Y$ are free Poisson distributed with suitable parameters, then $\X+\Y$ and $\left(\X+\Y\right)^{-\frac{1}{2}}\X\left(\X+\Y\right)^{-\frac{1}{2}}$ are ...
Szpojankowski, Kamil
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An alternative hyper-Poisson distribution
An alternative form of hyper-Poisson distribution is introduced through its probability mass function and studies some of its important aspects such as mean, variance, expressions for its raw moments, factorial moments, probability generating function ...
C. Satheesh Kumar, B. Unnikrishnan Nair
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ObjectiveTo compare differences among the results of utilizing Poisson distribution, quasi-Poisson distribution, and negative binomial distribution in the generalized additive model (GAM) analysis on the association of ambient air ozone (O3) with ...
Zheng-rong GU, Xin-yu WANG, Hui XU
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On the Convergence of Poisson Binomial to Poisson Distributions [PDF]
It is well known that under certain conditions, binomial distributions converge to Poisson distributions. Simons and Johnson (1971) showed that the convergence is actually much stronger than in the usual sense. In this note the author shows that the result of Simons and Johnson is also true for Poisson binomial distributions which include binomial ...
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Statistics of weighted Poisson events and its applications [PDF]
The statistics of the sum of random weights where the number of weights is Poisson distributed has important applications in nuclear physics, particle physics and astrophysics.
Bohm, G., Zech, G.
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The Poisson–Lindley Distribution: Some Characteristics, with Its Application to SPC
Statistical process control (SPC) is a significant method to monitor processes and ensure quality. Control charts are the most important tools in SPC.
Waleed Ahmed Hassen Al-Nuaami+2 more
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The two-parameter Poisson--Dirichlet point process [PDF]
The two-parameter Poisson--Dirichlet distribution is a probability distribution on the totality of positive decreasing sequences with sum 1 and hence considered to govern masses of a random discrete distribution.
Handa, Kenji
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The Poisson distribution, abstract fractional difference equations, and stability
We study the initial value problem (∗) { C∆ u(n) = Au(n+ 1), n ∈ N0; u(0) = u0 ∈ X. when A is a closed linear operator with domain D(A) defined on a Banach space X. We introduce a method based on the Poisson distribution to show existence and qualitative
C. Lizama
semanticscholar +1 more source
Bayesian inference, model selection and likelihood estimation using fast rejection sampling: the Conway-Maxwell-Poisson distribution [PDF]
Bayesian inference for models with intractable likelihood functions represents a challenging suite of problems in modern statistics. In this work we analyse the Conway-Maxwell-Poisson (COM-Poisson) distribution, a two parameter generalisation of the ...
Alan Benson, N. Friel
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Generalized Poisson Distribution [PDF]
Not ...
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