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   <dc:title>Tests of independence for multidimensional contingency tables based on (h − ,φ − −  ) -divergence measures</dc:title>
   <dc:creator>Pardo Llorente, M. Del Carmen</dc:creator>
   <dc:subject>519.21</dc:subject>
   <dc:subject>Divergence statistics</dc:subject>
   <dc:subject>Pitman efficiencies</dc:subject>
   <dc:subject>Joint probability</dc:subject>
   <dc:subject>Marginal probabilities</dc:subject>
   <dc:subject>Multidimensional contingency tables</dc:subject>
   <dc:subject>Random sampling</dc:subject>
   <dc:subject>Bahadur efficiencies</dc:subject>
   <dc:subject>Tests of independence</dc:subject>
   <dc:subject>Probabilidades (Matemáticas)</dc:subject>
   <dc:description>A divergence statistic is used to quantify the difference between a joint probability and the product of its marginal probabilities. An application of this to categorical data analysis is given. The asymptotic distribution of this statistic, and the Pitman and Bahadur efficiencies of tests of independence based on this statistic are obtained.</dc:description>
   <dc:description>Depto. de Estadística e Investigación Operativa</dc:description>
   <dc:description>Fac. de Ciencias Matemáticas</dc:description>
   <dc:description>TRUE</dc:description>
   <dc:description>pub</dc:description>
   <dc:date>2023-06-20T17:10:10Z</dc:date>
   <dc:date>2023-06-20T17:10:10Z</dc:date>
   <dc:date>1995</dc:date>
   <dc:type>journal article</dc:type>
   <dc:identifier>https://hdl.handle.net/20.500.14352/57881</dc:identifier>
   <dc:identifier>0315-3681</dc:identifier>
   <dc:rights>metadata only access</dc:rights>
   <dc:publisher>UTIL MATH Publ. Inc.</dc:publisher>
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