Assessing goodness of fit of generalized linear models to sparse data using higher order moment corrections

DOI10.1007/s13571-012-0037-0zbMath1281.62165OpenAlexW2089991277MaRDI QIDQ356489

Dianliang Deng, Sudhir R. Paul

Publication date: 25 July 2013

Published in: Sankhyā. Series B (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s13571-012-0037-0

zbMATH Keywords

sparse datageneralized linear modelbionomial and Poisson modelEdgeworth approximation

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Approximations to statistical distributions (nonasymptotic) (62E17) Asymptotic properties of parametric tests (62F05)

Related Items (2)

Goodness of fit of product multinomial regression models to sparse data ⋮ Summary goodness-of-fit statistics for binary generalized linear models with noncanonical link functions

Cites Work

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• Goodness-of-Fit Tests for Log-Linear Models in Sparse Contingency Tables
• Tensor notation and cumulants of polynomials
• On the Asymptotic Distribution of Pearson's Statistic in Linear Exponential-Family Models
• An Empirical Investigation of Goodness-of-Fit Statistics for Sparse Multinomials
• Asymptotic properties of moment estimators for overdispersed counts and proportions

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