The International Conference on Enrico's Statistics was held in May, 2021. The conference brought together experts from various fields to discuss recent developments in statistics and data analysis.
One of the key metrics discussed during the conference was the "Statistical Power" which refers to the probability that a sample will produce results consistent with the null hypothesis when it is applied to a population with a known distribution. This metric has been studied extensively over the years as it plays a crucial role in the design of statistical tests and hypothesis testing.
Another key metric that was discussed at the conference was the "Mean Square Error" (MSE) which measures the average squared difference between the observed values and the predicted values. This metric is important because it provides information about how well the model fits the data and helps in selecting the appropriate model for a particular problem.
In addition to these two metrics, there were also several other metrics discussed at the conference such as "Accuracy", "Precision", and "Recall". These metrics help in understanding the performance of different models and helping in selecting the best model for a given task.
Overall, the "Statistical Power" and "Mean Square Error" metrics have played a significant role in the field of statistics and data analysis. They provide valuable insights into the reliability and accuracy of statistical methods and can be used to improve the efficiency and effectiveness of statistical analyses.