Bootstrap Confidence Interval on IOHMM Parameters for System Health Diagnostic Under Multiple Operating Conditions

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...

Bootstrap estimate of the variance and confidence interval of kappa.

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,...

BOOTSTRAP CONFIDENCE INTERVALS 1 BootES : An R Package for Bootstrap Confidence Intervals on Effect Sizes

Bootstrap Effect Sizes (bootES; Gerlanc & Kirby, 2012) is a free, open source software package for R (R Development Core Team, 2012), which is a language and environment for statistical computing. BootES computes both unstandardized and standardized effect sizes (such as Cohen’s d, Hedges’s g, and Pearson’s r), and makes easily available for the first time the computation of their bootstrap CIs...