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   <dc:title>On best affine unbiased covariance-preserving prediction of factor scores</dc:title>
   <dc:creator>Neudecker, Heinz</dc:creator>
   <dc:subject>Factor analysis</dc:subject>
   <dc:subject>Factor scores</dc:subject>
   <dc:subject>Covariance-preserving</dc:subject>
   <dc:subject>Kristof-type theorem</dc:subject>
   <dc:description>This paper gives a generalization of results presented by ten Berge, Krijnen, Wansbeek &amp; Shapiro. They examined procedures and results as proposed by Anderson &amp; Rubin, McDonald, Green and Krijnen, Wansbeek &amp; ten Berge. We shall consider the same matter, under weaker rank assumptions. We allow some moments, namely the variance Ω of the observable scores vector and that of the unique factors Ψ to be singular. We require T'Ψ T.</dc:description>
   <dc:date>2004</dc:date>
   <dc:type>Article</dc:type>
   <dc:identifier>https://ddd.uab.cat/record/93934</dc:identifier>
   <dc:identifier>urn:oai:ddd.uab.cat:93934</dc:identifier>
   <dc:identifier>urn:articleid:20138830v28n1p27</dc:identifier>
   <dc:identifier>urn:oai:raco.cat:article/28859</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>SORT : statistics and operations research transactions ; Vol. 28, Núm. 1 (January-June 2004), p. 27-36</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:rights>Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by-nc-nd/3.0/</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher/>
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