Prediction and estimation for the compound Poisson distribution

1985 ◽  
pp. 70-71
Author(s):  
Herbert Robbins
Keyword(s):  
Poisson Distribution ◽  
Compound Poisson Distribution ◽  
Compound Poisson

Log-Compound-Poisson Distribution Model of Intermittency in Turbulence

1998 ◽  
Vol 53 (10-11) ◽  
pp. 828-832
Author(s):  
Feng Quing-Zeng
Keyword(s):  
Energy Dissipation ◽  
Poisson Distribution ◽  
Turbulent Energy ◽  
Compound Poisson Distribution ◽  
Distribution Model ◽  
Velocity Difference ◽  
Scaling Exponents ◽  
Compound Poisson ◽  
Developed Turbulence ◽  
Experimental Values

Abstract The log-compound-Poisson distribution for the breakdown coefficients of turbulent energy dissipation is proposed, and the scaling exponents for the velocity difference moments in fully developed turbulence are obtained, which agree well with experimental values up to measurable orders. The under-lying physics of this model is directly related to the burst phenomenon in turbulence, and a detailed discussion is given in the last section.

On a stochastic process occurring in queueing systems

1965 ◽  
Vol 2 (2) ◽  
pp. 467-469 ◽  
Author(s):  
U. N. Bhat
Keyword(s):  
Stochastic Process ◽  
Poisson Distribution ◽  
Waiting Time ◽  
Queueing Systems ◽  
Distribution Functions ◽  
Compound Poisson Distribution ◽  
Compound Poisson ◽  
Transition Distribution

SummaryTransition distribution functions (d.f.) of the stochastic process u + t − X(t), where X(t) has a compound Poisson distribution, are used to derive explicit results for the transition d.f.s of the waiting time processes in the queueing systems M/G/1 and GI/M/1.

Bivariate regression models based on compound Poisson distribution

2017 ◽  
Vol 46 (15) ◽  
pp. 7375-7389 ◽  
Author(s):  
Abdulhamid A. Alzaid ◽  
Fatimah E. Almuhayfith ◽  
Maha A. Omair
Keyword(s):  
Poisson Distribution ◽  
Regression Models ◽  
Compound Poisson Distribution ◽  
Compound Poisson ◽  
Bivariate Regression

Poisson theorem for non-homogeneous Markov chains

1989 ◽  
Vol 26 (03) ◽  
pp. 637-642 ◽  
Author(s):  
Janusz Pawłowski
Keyword(s):  
Markov Chains ◽  
Poisson Distribution ◽  
Sufficient Conditions ◽  
Necessary And Sufficient Conditions ◽  
Compound Poisson Distribution ◽  
Convergence In Distribution ◽  
Compound Poisson ◽  
Necessary And Sufficient

This paper gives necessary and sufficient conditions for the convergence in distribution of sums of the 0–1 Markov chains to a compound Poisson distribution.

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