Probability and Statistics
A hierarchical model is a statistical model that represents data with multiple levels of variation, allowing for the incorporation of different sources of variability. This approach is useful in situations where data can be grouped, enabling researchers to analyze relationships at both individual and group levels, making it particularly beneficial for complex datasets. Hierarchical models help to address the issue of dependence in data by recognizing and modeling the structure inherent in the data.
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