Incorrect parametric assumptions can lead to
incorrect statistical inference
•Precision
of estimators can be over- or understated
–Hypothesis
tests do not attain the nominal size
•Hypothesis
tests can be inconsistent
–Even an infinite sample size may not detect the alternative
•Interpretation
of estimators can be wrong