Empirical modeling is a methodological approach used primarily in the fields of science and engineering to create models based on observed data rather than purely theoretical considerations. It emphasizes the importance of observation and experience in building representations of systems, phenomena, or processes. Key aspects of empirical modeling include: 1. **Data-Driven**: Empirical modeling relies heavily on data collection and analysis. Models are formulated based on measurements and observations obtained from experiments or real-world phenomena rather than solely on established theories.
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