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Concept
Zero-inflated Models
Zero-inflated models
are
statistical models
used to handle excess zeros in
count data
, which traditional Poisson or
negative binomial models
fail to accommodate. They work by combining a count model with a binary model to separately account for the
zero-generating process
, providing a more
accurate fit
for
datasets with an overabundance of zero observations
.
Relevant Degrees
Probability and Statistics 100%
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