Variance weighting

Variance weighting is a method used to combine multiple data points or measurements by giving more importance to those with less variability or uncertainty. If a measurement is consistent and reliable (low variance), it is weighted more heavily when calculating an overall result. Conversely, measurements with higher variability (higher variance) are given less influence. This approach ensures that the combined estimate reflects the most dependable and precise data, leading to a more accurate and stable result. Essentially, variance weighting prioritizes data sources with greater certainty to improve the overall analysis.