Optimism Bias
Correct systematic forecast error using comparable evidence. Show how mitigation, its cost, and remaining uncertainty change the estimate and reserve.
Correct systematic forecast error using comparable evidence. Show how mitigation, its cost, and remaining uncertainty change the estimate and reserve.
The unobservable rate behind the number in the dashboard. What defines it, and why the textbook interval around it is not as safe as it looks.
The population average an experiment is trying to learn: fixed, unobserved, and defined only once the population itself is.
The average of what you measured, standing in for the average you cannot. Unbiased, sensitive to outliers, and slower to behave than n over 30 suggests.
Likelihood compares parameter values for fixed observations. Ratios, constants, log calculations, and model assumptions determine its interpretation.