Abstract:

Bayes estimator of regression coefficients under misspecified prior assumption was discussed,and a new relative efficiency of Bayes estimator and GLSE(generalized least square estimator) was proposed. Also, some better properties of the new relative efficiency were proved and its upper and lower bounds were obtained.

Key words: linear model; Bayes estimator; generalized least square estimator; misspecified prior assumption; relative efficiency