aggregaatiomenetelmät
Aggregaatiomenetelmät, or aggregation methods in English, refer to techniques used to combine multiple individual data points or predictions into a single, more robust estimate or outcome. These methods are prevalent across various fields, including statistics, machine learning, and economics. The core idea is that by pooling information from several sources, the resulting aggregated value is often more accurate and less prone to error than any single source alone.
In statistics, aggregation might involve calculating averages, medians, or weighted averages of a dataset. For example,
The choice of aggregation method depends heavily on the nature of the data and the specific problem