• Bookmarks

    Bookmarks

  • Concepts

    Concepts

  • Activity

    Activity

  • Courses

    Courses


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.
History Empty State Icon

Log in to see lessons

3