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   <dc:title>Inference for three-dimensional contingency tables based on phi 1-divergences</dc:title>
   <dc:creator>Pardo Llorente, Julio Ángel</dc:creator>
   <dc:contributor>López-Díaz, Miguel C.</dc:contributor>
   <dc:contributor>Gil, M. Angeles</dc:contributor>
   <dc:contributor>Grzegorzewski, Przemyslaw</dc:contributor>
   <dc:contributor>Hryniewicz, Olgierd</dc:contributor>
   <dc:contributor>Lawry, Jonathan</dc:contributor>
   <dcterms:abstract>In this paper, we consider independence models for three-dimensional tables under multinomial sampling. We use the restricted minimum phi-divergence estimator in a phi-divergence statistic, which is the basis of some new statistics, for solving the classical problems of testing different models in relation to the independence in three dimensional contingence tables.</dcterms:abstract>
   <dcterms:dateAccepted>2023-06-20T13:38:55Z</dcterms:dateAccepted>
   <dcterms:available>2023-06-20T13:38:55Z</dcterms:available>
   <dcterms:created>2023-06-20T13:38:55Z</dcterms:created>
   <dcterms:issued>2004</dcterms:issued>
   <dc:type>book part</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/53196</dc:identifier>
   <dc:identifier>XXXX-XXXX</dc:identifier>
   <dc:relation>Advances in Intelligent and Soft Computing</dc:relation>
   <dc:rights>metadata only access</dc:rights>
   <dc:publisher>Springer</dc:publisher>
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