Block designs for random treatment effects

TY - JOUR

T1 - Block designs for random treatment effects

AU - Bueno Filho, Júlio S. de S.

AU - Gilmour, Steven G.

PY - 2007/4/1

Y1 - 2007/4/1

N2 - A Bayesian design criterion for selection experiments in plant breeding is derived using a utility function that minimizes the risk of an incorrect selection. A prior distribution on the heritability parameter is used to complete the definition of the design optimality criterion. An example is given with evaluations of the criterion for different prior distributions on the heritability. Though coming from a genetic motivation this criterion should prove useful for any other types of experiments with random treatment effects.

AB - A Bayesian design criterion for selection experiments in plant breeding is derived using a utility function that minimizes the risk of an incorrect selection. A prior distribution on the heritability parameter is used to complete the definition of the design optimality criterion. An example is given with evaluations of the criterion for different prior distributions on the heritability. Though coming from a genetic motivation this criterion should prove useful for any other types of experiments with random treatment effects.

KW - Genetic relatedness

KW - Mixed model

KW - Optimal design

KW - REML

UR - http://www.scopus.com/inward/record.url?scp=33845216423&partnerID=8YFLogxK

U2 - 10.1016/j.jspi.2006.02.002

DO - 10.1016/j.jspi.2006.02.002

M3 - Article

AN - SCOPUS:33845216423

SN - 0378-3758

VL - 137

SP - 1446

EP - 1451

JO - JOURNAL OF STATISTICAL PLANNING AND INFERENCE

JF - JOURNAL OF STATISTICAL PLANNING AND INFERENCE

IS - 4

ER -