Bootstrap Confidence Intervals of the Difference between Two Process Capability Indices for Half Logistic Distribution

Bootstrap confidence intervals of CNpk for type‑II generalized log‑logistic distribution

This paper deals with construction of confidence intervals for process capability index using bootstrap method (proposed by Chen and Pearn in Qual Reliab Eng Int 13(6):355–360, 1997) by applying simulation technique. It is assumed that the quality characteristic follows type-II generalized log-logistic distribution introduced by Rosaiah et al. in Int J Agric Stat Sci 4(2):283–292, (2008). Discu...

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...

Improved Confidence Intervals for the Difference between Two Proportions

Confidence intervals for the difference between two means

Introduction This procedure calculates the sample size necessary to achieve a specified distance from the difference in sample means to the confidence limit(s) at a stated confidence level for a confidence interval about the difference in means when the underlying data distribution is normal. Caution: This procedure assumes that the standard deviations of the future samples will be the same as ...

Residuals based process capability indices for two-stage processes

The manufacturing operations often involve multistage processes where the process capability of each stage is affected by the process capability of its precedent processes. This property is known as the cascade property. The purpose of this paper is to estimate the process capability of the second stage of two-stage process while the cascade property impact is removed using residuals analysis. ...