About divergence-based goodness-of-fit tests in the dirichlet-multinomial model

DOI10.1080/03610929608831752zbMath0875.62192OpenAlexW2133586231MaRDI QIDQ4337180

Igor Vajda, M. Luisa Menendez, Leandro Pardo, Domingo Morales

Publication date: 5 November 1997

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610929608831752

zbMATH Keywords

goodness-of-fitDirichlet-multinomial distributiondivergence-based testingmoment-matching property

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Parametric hypothesis testing (62F03)

Related Items (7)

Some approximations to power functions of \(\phi\)-divergence tests in parametric models ⋮ Some new statistics for testing hypotheses in parametric models ⋮ New improved estimators for overdispersion in models with clustered multinomial data and unequal cluster sizes ⋮ Two approaches to grouping of data and related disparity statistics ⋮ Matching moments for a closer approximation of the weighted \((h,\phi)\)-divergence test statistics in goodness-of-fit for finite samples ⋮ New statistics to test log-linear modeling hypothesis with no distributional specifications and clusters with homogeneous correlation ⋮ Informational distances and related statistics in mixed continuous and categorical variables

Cites Work

• Divergence-based estimation and testing of statistical models of classification
• Analysis of contingency tables under cluster sampling
• Discrete variable analysis for individuals grouped into families
• The Distribution of the Chi-Squared Statistic Under Clustered Sampling from Contingency Tables

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