Estimating variance components in population scale family trees

Estimating Variance Components Using Alternative Minqe's in Selected Unbalanc Designs

On Estimating a De Facto Population and Its Components

Abstract. This paper deals with estimating a population that is largely defined by the fact that its size, composition, and distribution are not readily accessible from census data in the U.S. and the other countries that use the De Jure concept of population. The population in question is based on the De Facto concept, which involves the estimation of people where they are found rather than wh...

Estimating and testing variance components in a multi-level GLM

Most analysis of multi-subject fMRI data is concerned with determining whether there exists a significant population-wide 'activation' in a comparison between two or more conditions. This is typically assessed by testing the average value of a contrast of parameter estimates (COPE) against zero in a general linear model (GLM) analysis. However, important information can also be obtained by test...

Estimating phylogenetic trees from genome-scale data.

The heterogeneity of signals in the genomes of diverse organisms poses challenges for traditional phylogenetic analysis. Phylogenetic methods known as "species tree" methods have been proposed to directly address one important source of gene tree heterogeneity, namely the incomplete lineage sorting that occurs when evolving lineages radiate rapidly, resulting in a diversity of gene trees from a...

estimating variance components of ellipsoidal, orthometric and geoidal

the best quadratic unbiased estimation (bque) of variance components in the gauss-helmert model is used to combine adjustment of gps/levelling and geoid to determine the individual variance components for each of the three height types. through the research, different reasons for achievement of the negative variance components were discussed and a new modified version of the best quadratic unbi...