A Coordinate-free Approach of Estimation in Mixed Linear Models: Existence of the Best Linear Unbiased Estimators and of the Best Quadratic Estimators in Linear Models - Gabriela Beganu - Books - LAP LAMBERT Academic Publishing - 9783659199233 - August 2, 2012
In case cover and title do not match, the title is correct

A Coordinate-free Approach of Estimation in Mixed Linear Models: Existence of the Best Linear Unbiased Estimators and of the Best Quadratic Estimators in Linear Models


Get an email once the item is available
Do you have a profile? Log in
Get notified about new Gabriela Beganu releases
Add to your iMusic wish list

Not rated yet

The existence conditions of both the best linear unbiased estimator of expected mean and the best quadratic unbiased estimators of covariance components in multivariate mixed linear models are presented in this book by using a coordinate-free approach. These conditions are extended to a family of multivariate growth curve models. The use of the coordinate-free approach of estimation offers an attractive computational form and allows to define certain finite dimensional Hilbert spaces corresponding to the considered models.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released August 2, 2012
ISBN13 9783659199233
Publishers LAP LAMBERT Academic Publishing
Pages 68
Dimensions 150 × 4 × 225 mm   ·   113 g
Language English