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Visar resultat 1 - 5 av 14 avhandlingar som matchar ovanstående sökkriterier.

  1. 1. Bilinear and Trilinear Regression Models with Structured Covariance Matrices

    Författare :Joseph Nzabanita; Dietrich von Rosen; Martin Singull; Miguel Fonseca; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : 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. LÄS MER

  3. 2. Estimation Problems in Array Signal Processing, System Identification, and Radar Imagery

    Författare :Richard Abrahamsson; Peter Stoica; A. Lee Swindlehurst; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Parameter Estimation; Array Signal Processing; STAP; SAR; Ground Penetrating Radar; System Identification; Bilinear Models; Covariance Matrix Estimation; Signal processing; Signalbehandling; Signalbehandling; Signal Processing;

    Sammanfattning : This thesis is concerned with parameter estimation, signal processing, and applications. In the first part, imaging using radar is considered. More specifically, two methods are presented for estimation and removal of ground-surface reflections in ground penetrating radar which otherwise hinder reliable detection of shallowly buried landmines. LÄS MER

  4. 3. Spatial Statistics and Ancestral Recombination Graphs with Applications in Gene Mapping and Geostatistics

    Författare :Linda Werner Hartman; Matematisk statistik; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Genetik; Genetics; cytogenetics; cytogenetik; genetic association analysis; ancestral recombination graph Generalized linear mixed models; kriging; bilinear interpolation; Gaussian Markov random fields; Statistics;

    Sammanfattning : This thesis explores models and algorithms in geostatistics and gene mapping. The first part deals with the use of computationally effective lattice models for inference of data with a continuous spatial index. LÄS MER

  5. 4. Estimation in Multivariate Linear Models with Linearly Structured Covariance Matrices

    Författare :Joseph Nzabanita; Dietrich von Rosen; Martin Singull; Daniel Klein; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : 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. LÄS MER

  7. 5. Residual Analysis in the GMANOVA-MANOVA Model

    Författare :Béatrice Byukusenge; Dietrich von Rosen; Martin Singull; Daniel Klein; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : This thesis focuses on the establishment and analysis of residuals in the so called GMANOVA-MANOVA model. The model is a special case of the Extended Growth Curve Model. It has two terms where one term models the profiles (growth curves) and the other the covariables of interest. LÄS MER