Hamid, Jemila Seid
- Department of Forest Economics, Swedish University of Agricultural Sciences
Abstract
A test proposed by Seid Hamid & von Rosen (2005b) is considered. The critical point is calculated using a conditional approach. The conditional distributions under the null and alternative hypotheses are shown to be represented as sums of weighted central and non central chi-square random variables, respectively. Under the null hypothesis, the Satterth- waite approximation is used to a get an approximate critical point. An approximate estimated power is given using a Satterthwaite kind of approximation together with some new ideas. A numerical example is given to illustrate the results
Keywords
Ancillary statistics; conditional test; growth curve model; residuals; Satterthwaite approximation
Published in
Research report (Centre of Biostochastics)
2005, volume: 2005, number: 5, pages: 1-18
Publisher: SLU
SLU Authors
UKÄ Subject classification
Agricultural Science
Permanent link to this page (URI)
https://res.slu.se/id/publ/6851