Deficiency bounds for the multivariate inverse hypergeometric distribution

DOI10.1007/S00362-023-01524-YzbMATH Open1541.62125MaRDI QIDQ6581363

Frédéric Ouimet

Publication date: 30 July 2024

Published in: Statistical Papers (Search for Journal in Brave)

zbMATH Keywords

Hellinger distancedeficiencylocal approximationasymptotic statisticsnegative multinomial distributioncomparison of experimentsmultivariate inverse hypergeometric distribution

Mathematics Subject Classification ID

Multivariate distribution of statistics (62H10) Asymptotic distribution theory in statistics (62E20) Theory of statistical experiments (62B15)

Cites Work

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• Mixed INAR(1) Poisson regression models: Analyzing heterogeneity and serial dependencies in longitudinal count data
• Deficiency distance between multinomial and multivariate normal experiments
• Masses of negative multinomial distributions: application to polarimetric image processing
• On the Le Cam distance between multivariate hypergeometric and multivariate normal experiments
• Negative multinomial distribution
• Discrete \(q\)-distributions
• Log-Linear Modeling with the Negative Multinomial Distribution
• On Choosing and Bounding Probability Metrics
• q-Multinomial and negative q-multinomial distributions
• Multivariate q-Pólya and inverse q-Pólya distributions
• On the compound negative multinomial distribution and correlations among inversely sampled pollen counts
• Asymptotic comparison of negative multinomial and multivariate normal experiments
• Comparative Poisson clinical trials of multiple experimental treatments vs a single control using the negative multinomial distribution

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