Search for dissertations about: "Covariance structures"
Showing result 1 - 5 of 21 swedish dissertations containing the words Covariance structures.
-
1. A study of multilevel models with block circular symmetric covariance structures
Abstract : This thesis concerns the study of multilevel models with specific patterned covariance structures and addresses the issues of maximum likelihoodestimation. In particular, circular symmetric hierarchical datastructures are considered. READ MORE
-
2. Contributions to Estimation and Testing Block Covariance Structures in Multivariate Normal Models
Abstract : This thesis concerns inference problems in balanced random effects models with a so-called block circular Toeplitz covariance structure. This class of covariance structures describes the dependency of some specific multivariate two-level data when both compound symmetry and circular symmetry appear simultaneously. READ MORE
-
3. Statistical modeling and design in forestry : The case of single tree models
Abstract : Forest quantification methods have evolved from a simple graphical approach to complex regression models with stochastic structural components. Currently, mixed effects models methodology is receiving attention in the forestry literature. READ MORE
-
4. Bilinear and Trilinear Regression Models with Structured Covariance Matrices
Abstract : This thesis focuses on the problem of estimating parameters in bilinear and trilinear regression models in which random errors are normally distributed. In these models the covariance matrix has a Kronecker product structure and some factor matrices may be linearly structured. READ MORE
-
5. Estimation in Multivariate Linear Models with Linearly Structured Covariance Matrices
Abstract : This thesis focuses on the problem of estimating parameters in multivariate linear models where particularly the mean has a bilinear structure and the covariance matrix has a linear structure. Most of techniques in statistical modeling rely on the assumption that data were generated from the normal distribution. READ MORE