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   <dc:title>Multivariate prediction</dc:title>
   <dc:creator>Corcuera Valverde, José Manuel</dc:creator>
   <dc:creator>Giummolè, Federica</dc:creator>
   <dc:subject>Teoria de la predicció</dc:subject>
   <dc:subject>Estadística matemàtica</dc:subject>
   <dc:subject>Prediction theory</dc:subject>
   <dc:subject>Mathematical statistics</dc:subject>
   <dcterms:abstract>The problem of prediction is considered in a multidimensional setting. Extending an idea presented by Barndorff-Nielsen and Cox, a predictive density for a multivariate random variable of interest is proposed. This density has the form of an estimative density plus a correction term. It gives simultaneous prediction regions with coverage error of smaller asymptotic order than the estimative density. A simulation study is also presented showing the magnitude of the improvement with respect to the estimative method.</dcterms:abstract>
   <dcterms:issued>2012-04-10T10:45:28Z</dcterms:issued>
   <dcterms:issued>2012-04-10T10:45:28Z</dcterms:issued>
   <dcterms:issued>2006</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:relation>Reproducció del document publicat a: http://projecteuclid.org/euclid.bj/1141136655</dc:relation>
   <dc:relation>Bernoulli, 2006, vol. 12, núm. 1, p. 157-168.</dc:relation>
   <dc:rights>(c) ISI/BS, International Statistical Institute, Bernoulli Society, 2006</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>Bernoulli Society for Mathematical Statistics and Probability</dc:publisher>
   <dc:source>Articles publicats en revistes (Matemàtiques i Informàtica)</dc:source>
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