Asymptotic normality for the \(K_{\phi}\)-divergence goodness-of-fit tests

DOI10.1016/S0377-0427(01)00583-0zbMath1011.62047OpenAlexW1996861268MaRDI QIDQ1612405

Teresa E. Pérez, Julio Angel Pardo

Publication date: 22 August 2002

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0377-0427(01)00583-0

zbMATH Keywords

efficiency

Mathematics Subject Classification ID

Nonparametric hypothesis testing (62G10) Asymptotic distribution theory in statistics (62E20) Asymptotic properties of nonparametric inference (62G20)

Related Items (3)

On choosing a goodness‐of‐fit test for discrete multivariate data ⋮ Double asymptotics for the chi-square statistic ⋮ Poisson limit theorems for the Cressie-Read statistics

Cites Work

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• Goodness-of-fit statistics for discrete multivariate data
• Central limit theorems for multinomial sums
• Divergence statistics: sampling properties and multinomial goodness of fit and divergence tests
• Separable Statistics and Hypothesis Testing. The Case of Small Samples
• On the convexity of some divergence measures based on entropy functions
• Asymptotic distributions of φ‐divergences of hypothetical and observed frequencies on refined partitions
• Asymptotic normality and efficiency for certain goodness-of-fit tests

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