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      Cover image for Applying Statistical Methods to Unstructured Data Sets Using Text Pattern Analysis
      1. 
      Applying Statistical Methods to Unstructured Data Sets Using Text Pattern Analysis
      by 
      Iheagwam, Success Chijioke, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10811351
      Format: 
      Excerpt: 
      Applying Statistical Methods to Unstructured Data Sets Using Text Pattern Analysis / Iheagwam
      Cover image for Statistical and Computational Methods for Analyzing Accelerometer Data
      2. 
      Cover image for Performance Comparison of Imputation Algorithms on Missing at Random Data
      3. 
      Performance Comparison of Imputation Algorithms on Missing at Random Data
      by 
      Addo, Evans Dapaa, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10904504
      Format: 
      Excerpt: 
      all the widely accepted and standard statistical methods assume complete data for all variables
      Cover image for Classification Trees with Synthetic Features
      4. 
      Classification Trees with Synthetic Features
      by 
      Msabaeka, Tsitsi, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823514
      Format: 
      Excerpt: 
      methods to predict outcomes of categorical response variables in general. The trained synthetic features
      Cover image for Partial Differential Equation Models of Collective Migration During Wound Healing
      5. 
      Partial Differential Equation Models of Collective Migration During Wound Healing
      by 
      Nardini, John, author.
      http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10789678
      Format: 
      Excerpt: 
      derive an autocorrelative statistical model for cases where numerical error is the main source of error