A finite mixture of multiple discrete distributions for modelling heaped count data

DOI10.1016/J.CSDA.2017.02.013zbMath1464.62024OpenAlexW2591394905MaRDI QIDQ1654248

Miguel Santolino, Lluís Bermúdez, Dimitris Karlis

Publication date: 7 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2445/108966

zbMATH Keywords

EM algorithmdigit preferencemultiple Poissonwork disability days

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Computational methods for problems pertaining to statistics (62-08)

Cites Work

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• Heaping and its consequences for duration analysis: a simulation study
• Density estimation for data with rounding errors
• Truth and memory: linking instantaneous and retrospective self-reported cigarette consumption
• On the Power-Variance Family of Probability Distributions
• Estimation of the Parameters of the Triple and Quadruple Stuttering-Poisson Distributions
• Modelling general patterns of digit preference

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