<b>Comparisons of multivariate GR&R methods using bootstrap confidence interval

Bootstrap estimate of the variance and confidence interval of kappa.

Bootstrap confidence interval estimates of the bullwhip effect

This paper introduces the confidence interval estimate for measuring the bullwhip effect, which has been observed across most industries. Calculating a confidence interval usually needs the assumption about the underlying distribution. Bootstrapping is a non-parametric, but computer intensive, estimation method. In this paper, a simulation study on the behavior of the 95% bootstrap confidence i...

Double Bootstrap Confidence Interval Estimates with Censored and Truncated Data

Traditional inferential procedures often fail with censored and truncated data, especially when sample sizes are small. In this paper we evaluate the performances of the double and single bootstrap interval estimates by comparing the double percentile (DB-p), double percentile-t (DB-t), single percentile (B-p), and percentile-t (B-t) bootstrap interval estimation methods via a coverage probabil...

New Technical Efficiency Estimates with Improved Bootstrap Confidence Interval Coverage

Bootstrap confidence intervals on fixed-effects efficiency estimates from finite-sample panel data models exhibit low coverage probabilities, because the traditional estimate involves a "max" operator that induces a finite sample bias. Attempts to bootstrap confidence intervals for the traditional estimate have focused on correcting bias. Rather than addressing this bias at the bootstrap stage,...

Propensity score interval matching: using bootstrap confidence intervals for accommodating estimation errors of propensity scores

BACKGROUND Propensity score methods have become a popular tool for reducing selection bias in making causal inference from observational studies in medical research. Propensity score matching, a key component of propensity score methods, normally matches units based on the distance between point estimates of the propensity scores. The problem with this technique is that it is difficult to estab...