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Journal of Dairy Science Vol. 73 No. 12 3575-3582
© 1990 by American Dairy Science Association ®
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Selecting Statistical Models with Information Statistics

Yasuhiko Wada 1 and Nobuhisa Kashiwagi 2

1 National Institute of Animal Industry, Tsukuba Norindanchi, Ibaraki 305, Japan
2 The Institute of Statistical Mathematics, Minami Azabu, Minato-ku, Tokyo 106, Japan

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 procedure • Akaike's information criterion • model selection

Submitted on September 22, 1989
Accepted on June 25, 1990






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