Browsing by Subject "Multivariate analysis"

Now showing items 1-13 of 13

    • Analysis of contingency tables with structural zeros and ordered categories 
      Parsa, Amba Rahulji (Texas A&M University. Libraries, 1990)
      In this dissertation, procedures were presented for developing estimators of cell probabilities in contingency tables in the presence of structural zeros. Also, procedures were developed to analyze contingency tables using ...
    • Bayesian multivariate spatial models and their applications 
      Song, Joon Jin (Texas A&M University, 2004-11-15)
      Univariate hierarchical Bayes models are being vigorously researched for use in disease mapping, engineering, geology, and ecology. This dissertation shows how the models can also be used to build modelbased risk maps for ...
    • 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 ...
    • 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 ...
    • Factor analysis as an aid to interpretation in the multivariate analysis of variance (MANOVA) 
      Early, Grady Gaston (Texas A&M University. Libraries, 1970)
      This dissertation combines interpretative techniques involved in principle components analysis and in the multivariate analysis of variance. Particular emphasis is given to the interpretation of eigenvectors as discriminant ...
    • A factor analytic study of financial data 
      McCormack, Joseph Patric (Texas A&M University. Libraries, 1982)
      This study employs the multivariate statistical technique of maximum likelihood factor analysis to investigate the ability of financial variables to group themselves empirically into interpretable dimensions. The financial ...
    • Inference for the parameters of the complete symmetry covariance structure model 
      Miller, George Edward (Texas A&M University. Libraries, 1987)
      A set of multivariate observations is said to have a complete symmetry covariance structure if each observation has covariance matrix Σ = θ₁I[subscript p] + θ₀J[subscript p]J'[subscript p] where θ₀ and θ₁ are unknown ...
    • A model for finite data graphs with relocatable realizations 
      Daniel, Owen Dennis (Texas A&M University. Libraries, 1974)
      A data structure model is presented that is characteristic of a class of structures called data graphs. Data structures are considered to be a collection of data items together with a set of relations defined on these ...
    • Modeling spatial variability of localized lumber properties 
      Taylor, Steven Ellis (Texas A&M University. Libraries, 1988)
      The primary objective of this research was to develop stochastic models of localized modulus of elasticity (MOE) and tensile strength (T) for laminating lumber. Detailed information on the variability of localized MOE and ...
    • Nonparametric methods in multivariate discriminant analysis 
      Moore, Kris K. (Texas A&M University. Libraries, 1974)
      Nonparametric analogs to Wilk's [Lambda], Pillai's V, and Hotelling's T [superscript 2, subscript 0] are proposed as multivariate discriminators. Small sample distributions for the proposed statistics are generated by a ...
    • Statistical modeling of bivariate data 
      Woodfield, Terry Joe (Texas A&M University. Libraries, 1982)
      A technique for modeling bivariate data that is based on the theory of orthogonal expansions in a separable Hilbert space is examined. A new nonparametric density estimation procedure is developed using an information ...
    • Studies on the multivariate statistics oriented genetic parameters and their uses 
      Sato, Muneharu (Texas A&M University. Libraries, 1981)
      Multivariate statistical methods have rarely been used in the plant breeding field. Their intricate theories have made themselves unappealing to most experimentalists. However, recent advancements of electronic computers ...
    • SURFACE-ENHANCED RAMAN SPECTROSCOPY FOR DETECTING AGRICULTURAL VOLATILE ORGANIC COMPOUNDS COLLECTED WITH ADSORBENTS 
      Park, Jinhyuk (2019-11-13)
      Volatile organic compounds (VOCs) emitted from any crop contain useful information that can tell its physiological status, and especially, herbivore-induced plant VOCs can be considered as an important phenome that can ...