Asymptotic approximations for the distributions of the (h‐, φ‐)‐divergence goodness‐of‐fit statistics: application to Renyi’s statistic
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Publication:4246455
DOI10.1108/03684929710176449zbMath1067.62513OpenAlexW1988174561MaRDI QIDQ4246455
Leandro Pardo, M. Luisa Menendez, Julio Angel Pardo, María del Carmen Pardo
Publication date: 6 June 1999
Published in: Kybernetes (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1108/03684929710176449
Asymptotic distribution theory in statistics (62E20) Statistical aspects of information-theoretic topics (62B10)
Related Items (18)
On choosing a goodness‐of‐fit test for discrete multivariate data ⋮ Improvement of the test of independence among groups of factors in a multi-way contingency table ⋮ Empirical phi-divergence test statistics for the difference of means of two populations ⋮ Asymptotic approximations for the distributions of the \(K\phi\)-divergence goodness-of-fit statistics ⋮ Empirical phi-divergence test statistics for testing simple and composite null hypotheses ⋮ On Generalized Tests of Fit for Multinomial Populations ⋮ Information Measures in Biostatistics and Reliability Engineering ⋮ The moment-corrected phi-divergence test statistics for symmetry ⋮ Transformed goodness-of-fit statistics for a generalized linear model of binary data ⋮ Transformed statistics for tests of conditional independence in \(J \times K \times L\) contingency tables ⋮ Unnamed Item ⋮ Improved transformed statistics for the test of independence in \(r\times s\) contingency tables ⋮ Testing with exponentially tilted empirical likelihood ⋮ Choosing the best Rukhin goodness-of-fit statistics ⋮ Improved transformed deviance statistic for testing a logistic regression model ⋮ Rukhin's uniformity test based on sample quantiles ⋮ Small-sample comparisons for the Rukhin goodness-of-fit-statistics ⋮ On divergence tests for composite hypotheses under composite likelihood
Cites Work
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- Asymptotic properties of divergence statistics in a stratified random sampling and its applications to test statistical hypotheses
- On the applications of divergence type measures in testing statistical hypotheses
- Divergence-based estimation and testing of statistical models of classification
- Divergence measures based on the Shannon entropy
- A directed-divergence function of type β
- Asymptotic Approximations for the Probability that a Sum of Lattice Random Vectors Lies in a Convex Set
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