Mathematics
3 years ago

Unlocking the Power of Mixed-Effects Models for More Accurate Predictions

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Statisctics and computing/Statistics and computing
Linear Mixed-Effects Models: Basic Concepts and Examples

Paper Summary

The article talks about how statistical models can be split into fixed effects (related to whole populations or specific factors) and random effects (related to individual units). When a model has both fixed and random effects, it's called a mixed-effects model.

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