von Rosen, Dietrich
- Institutionen för energi och teknik, Sveriges lantbruksuniversitet
Sammanfattning
A new approach of estimating parameters in multivariate models is introduced. A fitting function will be used. The idea is to estimate parameters so that the fitting function equals or will be close to its expected value. The function will be decomposed into two parts. From one part, which will be independent of the mean parameters, the dispersion matrix is estimated. This estimator is inserted in the second part which then yields the estimators of the mean parameters. The Growth Curve model, extended Growth Curve model and a multivariate variance components model will illustrate the approach. (C) 2005 Elsevier Inc. All rights reserved
Publicerad i
Journal of Multivariate Analysis
2006, volym: 97, nummer: 3, sidor: 619-632
Utgivare: ELSEVIER INC
SLU författare
UKÄ forskningsämne
Trädgårdsvetenskap/hortikultur
Miljö- och naturvårdsvetenskap
Skogsvetenskap
Publikationens identifierare
- DOI: https://doi.org/10.1016/j.jmva.2005.03.016
Permanent länk till denna sida (URI)
https://res.slu.se/id/publ/9680