Criteria for evaluating approximations of count distributions

DOI10.1080/03610918.2018.1535070zbMath1489.62062OpenAlexW2910442366WikidataQ128568157 ScholiaQ128568157MaRDI QIDQ5083930

Annika Homburg

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1535070

zbMATH Keywords

count datarisk measuresGauss approximationgoodness of approximationINAR(1) forecast

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Approximations to statistical distributions (nonasymptotic) (62E17)

Uses Software

• QRM

Cites Work

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• Discrete analogues of self-decomposability and stability
• Symmetric and asymmetric rounding: a review and some new results
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• An improvement of the Berry–Esseen inequality with applications to Poisson and mixed Poisson random sums
• The Use of a Mixture Model in the Analysis of Count Data
• On Approximating the Point Binomial
• The INARCH(1) Model for Overdispersed Time Series of Counts
• On Choosing and Bounding Probability Metrics
• A Score Test for Zero Inflation in a Poisson Distribution
• Univariate Discrete Distributions
• On Information and Sufficiency

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