Bootstrap procedures may be used to reduce errors in many statistical problems. We discuss their use in constructing empirical goodness-of-fit confidence interval for a mean.
Simulation study shows that the bootstrap calibration reduces coverage erro...
Bootstrap procedures may be used to reduce errors in many statistical problems. We discuss their use in constructing empirical goodness-of-fit confidence interval for a mean.
Simulation study shows that the bootstrap calibration reduces coverage error of empirical goodness-of-fit confidence interval.