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        <identifier>oai:www.ideals.illinois.edu:2142/82013</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:contributor>Bockenholt, Ulf</dc:contributor>
          <dc:creator>Tsai, Rung-Ching</dc:creator>
          <dc:date>2015-09-25T20:38:41Z</dc:date>
          <dc:date>2015-09-25T20:38:41Z</dc:date>
          <dc:date>10000-01-01</dc:date>
          <dc:date>2001</dc:date>
          <dc:date>2001</dc:date>
          <dc:description>Representations of Thurstonian models cannot be uniquely identified because of the discrete nature and the difference structure of the paired comparison data. In this thesis, the identifiability of model parameters are investigated by studying empirically equivalent Thurstonian models. Equivalence relations and their implications on interpretation are presented in detail for a number of covariance structures. Wherever possible, specific conditions are given to allow researchers to examine the identifiability of the model parameters.</dc:description>
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  Previous issue date: 2001</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 83294
Lift date: Forever
Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
          <dc:description>Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs</dc:description>
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          <dc:description>138 p.</dc:description>
          <dc:description>Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.</dc:description>
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          <dc:identifier>(MiAaPQ)AAI3023219</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:subject>Statistics</dc:subject>
          <dc:title>Analysis of Paired Comparison Data Using Monte Carlo EM Algorithms</dc:title>
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            <department>Psychology</department>
            <discipline>Psychology</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
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