Selecting Statistical Models with Information Statistics.
YASUHIKO WADA
National Institute of Animal Industry
Tsukuba Norindanchi
Ibaraki 305, Japan
NOBUHISA KASHIWAGI
The Institute of Statistical Mathematics
Minami Azabu, Minato-ku
Tokyo 106, Japan
ABSTRACT
The problem of model selection in animal breeding is examined
using Akaike's Information Criterion. A detailed procedure is
presented for the mixed linear model. A simulation study was
designed based on field data on Japanese Holstein cows. Criteria
related to Akaike's information criterion, extensions of the
proposed procedure, and computational difficulties are discussed.
Key words
best linear unbiased preocedure, Akaike's information criterion,
model selection
J. Dairy Sci. 73: 3575-3582. (1990)
Wada's Lab.