To present a resampling approach to obtain confidence intervals (CIs) and the empirical distributions for the studentized regression residuals percentiles when used as cutoff points for overweight and ...

Bootstrapping is a widely used statistical learning technique that falls under the broader category of resampling methods. Bootstrapping is typically used in the estimation of various statistics and ...

Approximately unbiased tests based on bootstrap probabilities are considered for the exponential family of distributions with unknown expectation parameter vector, where the null hypothesis is ...

An approach combining saddlepoint approximation and importance resampling is developed for approximating the bootstrap distribution of a statistic which is a smooth function of sample means. The idea ...

Developing confidence about a portfolio strategy’s track record (or throwing it onto the garbage heap), whether it’s your own design or a third party’s model, is a tricky but essential chore. There’s ...