Print Email Facebook Twitter Least-squares variance component estimation Title Least-squares variance component estimation Author Teunissen, P.J.G. Amiri-Simkooei, A.R. Faculty Aerospace Engineering Department Delft Institute of Earth Observation and Space Systems (DEOS) Date 2007-05-08 Abstract Least-squares variance component estimation (LS-VCE) is a simple, flexible and attractive method for the estimation of unknown variance and covariance components. LS-VCE is simple because it is based on the well-known principle of LS; it is flexible because it works with a user-defined weight matrix; and it is attractive because it allows one to directly apply the existing body of knowledge of LS theory. In this contribution, we present the LS-VCE method for different scenarios and explore its various properties. The method is described for three classes of weight matrices: a general weight matrix, a weight matrix from the unit weight matrix class; and a weight matrix derived from the class of elliptically contoured distributions. We also compare the LS-VCE method with some of the existing VCE methods. Some of them are shown to be special cases of LS-VCE. We also show how the existing body of knowledge of LS theory can be used to one’s advantage for studying various aspects of VCE, such as the precision and estimability of VCE, the use of a-priori variance component information, and the problem of nonlinear VCE. Finally, we show how the mean and the variance of the fixed effect estimator of the linear model are affected by the results of LS-VCE. Various examples are given to illustrate the theory. Subject Least-squares variance component estimation (LS-VCE)Elliptically contoured distributionBest linear unbiased estimator (BLUE)Best invariant quadratic unbiased estimator (BIQUE)Minimum norm quadratic unbiased estimator (MINQUE)Restricted maximum likelihood estimator (REML) To reference this document use: http://resolver.tudelft.nl/uuid:1012257e-c0c9-4843-929c-72034cc2e42a Publisher Springer ISSN 1432-1394 Source Journal of Geodesy, 82 (2) Part of collection Institutional Repository Document type journal article Rights (c) 2007 Teunissen, P.J.G.; Amiri-Simkooei, A.R.; Springer Files PDF teunissen_2008.pdf 360.01 KB Close viewer /islandora/object/uuid:1012257e-c0c9-4843-929c-72034cc2e42a/datastream/OBJ/view