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Results tagged with underdispersion
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user 129321
Underdispersion is when there is less variability than there 'ought' to be in the data. Eg, the variance of counts could be less than the mean, whereas the variance of a Poisson should equal the mean.
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How to correct underdispersion in logistic regression
Getting a residual mean deviance around 0.63 is perfectly normal for binary regression and it does not indicate underdispersion or overdispersion. … There is actually no such thing as underdispersion or overdispersion for binary regression. …
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Count process with standard deviation proportional to its mean
Mean-variance relationships are defined for families of probability distributions, especially families indexed by a single parameter.
As we vary the unknown parameter, both the mean and the variance o …