Results 221 to 230 of about 30,813 (269)
Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre-Clinical Quality Control. [PDF]
Menssen M +4 more
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Quantum computing universal thermalization dynamics in a (2 + 1)D Lattice Gauge Theory. [PDF]
Mueller N +4 more
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Antimalarial Potential of Heme-Targeting Dimeric Compounds: Binding Efficacy vs. Membrane Retention Effects. [PDF]
Kemmer VM +16 more
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Antiviral Activity of Ethyl Gallate Against Zika Virus: In Vitro and In Silico Studies. [PDF]
Lee YJ, Kang N, Heo JH, Kim EA, Heo SJ.
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Some of the next articles are maybe not open access.
Approximation by the Compound Poisson Law
Theory of Probability & Its Applications, 2005Summary: We consider a specification of the convergence of distributions of sums of independent, nonnegative integer random variables to the compound Poisson distribution. Theorems of large deviations and asymptotic expansions under some weak conditions are proved.
Aleškevičiėnė, A. K. +1 more
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COMPARISON OF APPROXIMATIONS FOR COMPOUND POISSON PROCESSES
ASTIN Bulletin, 2015AbstractIn this paper, we compare the error in several approximation methods for the cumulative aggregate claim distribution customarily used in the collective model of insurance theory. In this model, it is usually supposed that a portfolio is at risk for a time period of length t.
Choirat, C., SERI, RAFFAELLO
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LARGE DEVIATIONS FOR SIGNED COMPOUND POISSON APPROXIMATIONS
Statistics & Risk Modeling, 1997The authors introduce large deviations for signed compound Poisson measures with compounding asymptotic expansions. The main common property for such deviations is the enlargement of the equivalence zone for probabilities and tails in comparison with Poisson and normal approximations.
Čekanavičius, Vydas, Vaitkus, Pranas
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Stein’s method for conditional compound Poisson approximation
Statistics & Probability Letters, 2015zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Gan, H. L., Xia, A.
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On Compound Poisson Approximation for Sequence Matching
Combinatorics, Probability and Computing, 2000Consider sequences {Xi}mi=1 and {Yj}nj=1 of independent random variables, taking values in a finite alphabet, and assume that the variables X1, X2, … and Y1, Y2, … follow the distributions μ and v, respectively. Two variables Xi and Yj are said to match if Xi = Yj.
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