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Concept
Negative Binomial Regression
Negative binomial regression
is a type of
regression analysis
used for
count data
where the
variance exceeds the mean
, addressing overdispersion by introducing an
extra parameter
. It is particularly useful when the data exhibits a
high degree of variability
that cannot be captured by a
Poisson distribution
, making it ideal for modeling overdispersed
count data
in fields like epidemiology and ecology.
Relevant Fields:
Probability and Statistics 100%
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