- mean of the
misspecified MLE (i.e. the
model that
ignores heteroscedasticity). As a result, the
predictions which are
based on the
misspecified MLE will...
- have
indicated that a
value greater than .90 is
needed to
ensure that
misspecified models are not
deemed acceptable. Thus, a CFI
value of .95 or higher...
-
variables have any
power in
explaining the
response variable, the
model is
misspecified in the
sense that the data
generating process might be
better approximated...
- unbiased, and
asymptotically normal even when the
working correlation is
misspecified,
under mild
regularity conditions. GEE is
higher in
efficiency than generalized...
-
understanding of the
model used to make predictions. However, if the
model is
misspecified, this can lead to
incorrect predictions.
Inability to
explain certain...
-
agents that
converge on safe
default behaviors even when
their goals are
misspecified. In the
intelligence explosion scenario hypothesized by I. J. Good, recursively...
- for
Nonlinear Models".
Econometrics Beat. Guggisberg,
Michael (2019). "
Misspecified Discrete Choice Models and Huber-White
Standard Errors".
Journal of Econometric...
- the
normal model against the AIC
value of the log-normal model. For
misspecified model, Takeuchi's
Information Criterion (TIC)
might be more appropriate...
-
conflict with
available evidence.
Replication is
unlikely to
detect misspecified models which inappropriately-fit the data. If the
replicate data is within...
- {\displaystyle \epsilon } is
uncorrelated with
education produces a
misspecified model.
Another technique is to
include in the
equation additional set...
