Bias and Variance of Estimators
Bootstrap Estimation of Bias and Variance
Hypothesis Tests for Parameter Values
Jackknife Estimates of Bias and Variance
Bootstrapping Dependent Data
We often collect a random sample of cases from a population, let this sample interact with a model in some way, and then examine with interest a number (or several numbers) that result from the interaction. For example, we may use the random sample to train a model and then examine one or more of the model’s learned ...