Random variate generation and connected computational issues for the Poisson-Tweedie distribution

DOI10.1007/s00180-015-0623-5zbMath1342.65018OpenAlexW1825834652MaRDI QIDQ736657

Luisa Stracqualursi, Alberto Baccini, Lucio Barabesi

Publication date: 4 August 2016

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-015-0623-5

zbMATH Keywords

compound Poisson distributionjournal citation profile datamixture Poisson distribution

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Related Items (5)

Goodness-of-fit test for count distributions with finite second moment ⋮ Discrete tempered stable distributions ⋮ Modelling the covariance structure in marginal multivariate count models: hunting in Bioko Island ⋮ The tempered discrete Linnik distribution ⋮ Domains of attraction for positive and discrete tempered stable distributions

Uses Software

• Mathematica

Cites Work

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• Modelling heterogeneity in survival analysis by the compound Poisson distribution
• Stable densities under change of scale and total variation inequalities
• A triptych of discrete distributions related to the stable law
• Discrete dispersion models and their Tweedie asymptotics
• Modelling heavy-tailed count data using a generalised Poisson-inverse Gaussian family
• Erzeugung von betaverteilten und gammaverteilten Zufallszahlen
• Determination of optimal lot size and production rate for multi-production channels with limited capacity
• Parameter Estimation for the Discrete Stable Family
• Survival models for heterogeneous populations derived from stable distributions
• Computer Generation of Poisson Deviates from Modified Normal Distributions
• Analysis of Overdispersed Count Data by Mixtures of Poisson Variables and Poisson Processes
• Random variate generation for exponentially and polynomially tilted stable distributions
• Sampling Exponentially Tilted Stable Distributions
• Univariate Discrete Distributions

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