Modellselektion

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Model selection in statistics is crucial for analyzing raw data and supporting scientific theories. Various approaches assist researchers in choosing the appropriate model for effective data analysis. This process is essential for verifying or falsifying theories. The different methods of model selection provide valuable insights for optimal data analysis, thereby contributing to scientific practice.