The Wald statistic is one of the most commonly used tools in applied statis
tics, so it is sobering to read Fears, Benichou, and Gall's recent reminder
of its fallibility. What makes their example particularly relevant is the
fact that the problem is manifest in a simple normal random effects model o
n a balanced dataset for a seemingly harmless parameter, while, in practice
, one tends to rely on the Wald test in complicated or nonnormal models whe
re there are no exact tests to serve as a gold standard. This article expla
ins the failure of the Wald test via the profile likelihood functions, whic
h graphically look decidedly nonnormal. The methodology used to derive the
profile likelihood and the discussion of this example could be instructive
for a senior or beginning graduate class in theory of statistics.