Article
Licensed
Unlicensed
Requires Authentication
Statistical Inference from Boyles' Capability Index
-
Linda Lee Ho
Published/Copyright:
March 10, 2010
Abstract
This paper presents statistical inference procedures from Spn, a process capability index for asymmetrical processes proposed by Boyles. From the frequentist perspective, a conservative lower confidence bound is given. From the Bayesian perspective, the SIR algorithm is used to obtain the posterior distribution of Spn. Both procedures are illustrated by simulations and examples.
Key Words:: Asymmetrical process capability index; Bayesian inference
Published Online: 2010-03-10
Published in Print: 2003-April
© Heldermann Verlag
You are currently not able to access this content.
You are currently not able to access this content.
Articles in the same Issue
- On the Distribution of the Estimated Process Capability Index Cpmk
- Nonparametric Capability Indices
- Statistical Inference from Boyles' Capability Index
- Time Dependent Availability of K-out-of-N:G Systems with Exponential Failures and General Repairs
- A Note on Monotonic Probability Distributions
- A Note on the Murthy-Sarma Estimators of the Mean of the Normal Distribution for Small Samples
- Charts for Detecting Small Shifts
- False Alarm Probability Function of Cusum Charts
- The Validation of the Human Contribution to Quality: A Case Study at Lockheed Martin Aeronautics - Fort Worth
Articles in the same Issue
- On the Distribution of the Estimated Process Capability Index Cpmk
- Nonparametric Capability Indices
- Statistical Inference from Boyles' Capability Index
- Time Dependent Availability of K-out-of-N:G Systems with Exponential Failures and General Repairs
- A Note on Monotonic Probability Distributions
- A Note on the Murthy-Sarma Estimators of the Mean of the Normal Distribution for Small Samples
- Charts for Detecting Small Shifts
- False Alarm Probability Function of Cusum Charts
- The Validation of the Human Contribution to Quality: A Case Study at Lockheed Martin Aeronautics - Fort Worth