Browsing by Subject "Discriminant analysis"

Now showing items 1-6 of 6

    • Canonical correlation and discrimination with missing observations 
      Riggs, Mark William (Texas A&M University. Libraries, 1981)
      A procedure is proposed as a solution to the problem of estimating canonical correlations using samples with missing observations. Simulation studies are made to compare this procedure to the common procedure of ignoring ...
    • Classification based on dichotomous and continuous variables : Krzanowski's procedure 
      Ball, Gerald Danni (Texas A&M University. Libraries, 1983)
      This dissertation reports an evaluation of Krzanowski's location model approach to discriminant analysis. Three of Krzanowski's assumptions (all binary means equal within-population, all binary correlations equal ...
    • Discriminant analysis with missing data 
      Bohannon, Tommy R. (Texas A&M University. Libraries, 1976)
      A procedure is proposed as a solution to the problem of constructing a classification rule based on samples which contain incomplete vectors. Simulation studies are made comparing this procedure to the standard procedure ...
    • Prediction of Tortilla Quality Using Multivariate Modeling of Kernel, Flour and Dough Properties 
      Jondiko, Tom O (2014-01-10)
      Advances in high-throughput wheat breeding techniques have resulted in the need for rapid, accurate and cost-effective means to predict tortilla making performance for larger numbers of early generation wheat lines. ...
    • Some problems of statistical inference in regression and discriminant analysis 
      Sonvico, Violeta Amelia (Texas A&M University. Libraries, 1976)
      In this dissertation the following problems I the area of regression and discriminant analysis have been discussed. (1) Suppose there are m groups or populations and the regression lines of y on k independent variables ...
    • Statistical Inference for Multi-view Data 
      Zhang, Yunfeng (2020-07-10)
      Multi-view data, that is matched sets of measurements on the same subjects, have become increasingly common with technological advances in genomics, neuroscience and wearable technologies, etc. Despite its prevalence, ...