ESTIMATING VARIANCE COMPONENTS: REPLY TO GROETERS

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

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 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...

Estimating the Variance 1 Running head: ESTIMATING THE VARIANCE Estimating the Variance in Before-After Studies

Problem: To simplify the computation of the variance in before-after studies, it is generally assumed that the observed crash data for each entity (or observation) are Poisson distributed. Given the characteristics of this distribution, the observed value ( i x ) for each entity is implicitly made equal to its variance. However, the variance should be estimated using the conditional properties ...

Variance Components