Evaluation of Bootstrap Confidence Intervals Using a New Non-Normal Process Capability Index
نویسندگان
چکیده
منابع مشابه
A Bootstrap Confidence Limit for Process Capability Indices
The process capability indices are widely used by quality professionals as an estimate of process capability. The lower confidence limits of PCIs are difficult to be estimated by parametric methods for some non-normal distributed processes. The non-parametric but computer intensive Bootstrap techniques are utilized for these cases. The Percentile-t Bootstrap (PTB) method is used to estimate the...
متن کاملConfidence Interval for Fuzzy Process Capability Index
Capability indices compare the actual performance of a manufacturing process to the desired performance. In practice these indices are estimated using sample data, often with quite small sample sizes. Thus, it is of interest to obtain confidence limits for actual capability index given a sample estimate. Most of the traditional methods for assessing the capability of manufacturing process are d...
متن کاملOn Teaching Bootstrap Confidence Intervals
notion the theoretical distribution on the random variable ) is not available. All we have ICOTS8 (2010) Invited Paper Engel International Association of Statistical Education (IASE) www.stat.auckland.ac.nz/~iase/ to rely on are the data at hand, i.e. the sample or recapture of size n. These data–if drawn by some random mechanism–may well be taken as a good representation of the total fish popu...
متن کاملNonsymmetric Bootstrap Confidence Intervals Using SASlIML® Software on a PC
In this paper, PC SAS/IML® modules are developed which calculate percentile method confidence intervals and vanants. The modules will work on distributions of parameters generated by any Monte Carlo technique, Including the bootstrap.
متن کاملBOOTSTRAP 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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Symmetry
سال: 2019
ISSN: 2073-8994
DOI: 10.3390/sym11040484