Now showing items 1-6 of 6

    • Von Tress, Mark Scott (Texas A&M University. Libraries, 1987)
      Estimation and diagnostics in nested variance component models is researched in this dissertation. Sufficiency and completeness of the statistics in nested models is studied to build the foundation for efficient estimators ...
    • Gomez Meza, Marco Vinicio (Texas A&M University. Libraries, 1993)
      This dissertation presents a new estimation procedure for the variance components in the unbalanced mixed linear model. Without the non-negativity constraint, restricted maximum likelihood (REML) estimates are computed ...
    • Bremer, Ronald Henry (Texas A&M University. Libraries, 1987)
      The estimation of variance components in random and mixed factorial analysis of variance models has been the topic of much research. When all the cells of the model have the same amount of data, uniformly, minimum variance, ...
    • Prihoda, Thomas Jeffery (Texas A&M University. Libraries, 1981)
      Parzen (1979) suggests a location and scale model for the quantile function (inverse distribution function) of a random variable. We extend this model to the two sample and k-sample problems and some results are given ...
    • Case, Robert Joseph (Texas A&M University. Libraries, 1981)
      Several methods for analyzing untransformed data from negative multinomial distributions are presented with examples. These include a test of fit, a comparison of mean values, and an analysis of linear models. The techniques ...
    • Green, John Willia (Texas A&M University. Libraries, 1985)
      Numerical and graphical diagnostics are developed for investigating the usual analysis of variance estimators of variance components that arise in balanced, random effects models. Various linear combinations of variance ...