The restricted maximum likelihood (REML) estimator of the dispersion matrix for random coefficient models is rewritten in terms of the sufficient statistics of the individual regressions.

Thas paper addresses the problem of equalizing a (narrowband) multipath channel using data f r o m a n array of sensors. By exploiting the structure inherent i n the data, i t i s shown that the number o f multipath rays that can he uniquely identified is o n the order of the numher of data samples collected, rather than the number of sensor.s as in most direction finding npplicalions. Two equa...

to estimate the genetic parameters for production and reproduction traits in holstein cows, information from 15 herds recorded by animal breeding center of iran during 1980 – 2004, were employed. estimations were made using restricted maximum likelihood method under an animal model ranging df-reml and matvec software. estimates of heritabilities for yield traits were moderate and ranged from 0....

Distributed linear solutions of the EEG source localisation problem are used routinely. In contrast to discrete dipole equivalent models, distributed linear solutions do not assume a fixed number of active sources and rest on a discretised fully 3D representation of the electrical activity of the brain. The ensuing inverse problem is underdetermined and constraints or priors are required to ens...

A COMPARATIVE SIMULATION STUDY OF ROBUST ESTIMATORS OF STANDARD ERRORS Natalie Johnson Department of Statistics Statistics Master of Science The estimation of standard errors is essential to statistical inference. Statistical variability is inherent within data, but is usually of secondary interest; still, some options exist to deal with this variability. One approach is to carefully model the ...

Summary In this research, an intrinsically nonlinear split-plot design model (INSPDM) is formulated and studied. It was by fitting a Johnson–Schumacher (JS) function to the mean function. The fitted parameters are estimated using generalized least squares (EGLS) technique based on Gauss–Newton procedure with Taylor series expansion, minimizing objective of model. variance components for whole p...

AIM Glucagon-like peptide-1 can reduce both postprandial plasma glucose (PG) and chylomicron (CM) levels in patients with type 2 diabetes. However, there have been no reports regarding the relationship between the postprandial metabolism of PG and CM. METHODS Patients with type 2 diabetes who were admitted for glycemic control were randomized to insulin alone (Ins; n=16) or insulin plus vilda...