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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>
      <dc:description>2nd International Conference on Soft Methods in Probability and Statistics (SMPS 2004) SEP 02, 2004-SEP 04, 2007
Oviedo, SPAIN</dc:description>
      <dc:description>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.</dc:description>
      <dc:date>2023-06-20T13:38:55Z</dc:date>
      <dc:date>2023-06-20T13:38:55Z</dc:date>
      <dc:date>2004</dc:date>
      <dc:type>book part</dc:type>
      <dc:identifier>978-3-540-22264-4</dc:identifier>
      <dc:identifier>https://hdl.handle.net/20.500.14352/53196</dc:identifier>
      <dc:identifier>http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-540-22264-4</dc:identifier>
      <dc:identifier>http://www.springer.com</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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