The BLUPs Are Not “Best” When It Comes To Bootstrapping
In the setting of mixed models, some researchers may construct a semiparametric bootstrap by sampling from the best linear unbiased predictor residuals. This paper demonstrates both mathematically and by simulation that such a bootstrap will consistently underestimate the variation in the data in finite samples.
Jeffrey S. Morris. " The BLUPs Are Not “Best” When It Comes To Bootstrapping" Statistics and Probability Letters 56 (2002): 425-430.
Available at: http://works.bepress.com/jeffrey_s_morris/30