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Nonparametric Capability Indices
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T. V. Ramanathan
Published/Copyright:
March 10, 2010
Abstract
Process capability indices Cp and Cpk are widely used in statistical quality control to assess the capability of a process. These indices are defined, based on the assumption that the quality characteristic follows a normal distribution. In this paper two new capability indices are considered, which do not depend on any distributional assumptions. The estimation and asymptotic properties of the estimators of these indices are investigated. Two examples are given to illustrate the importance of the given indices and their computational procedures.
Published Online: 2010-03-10
Published in Print: 2003-April
© Heldermann Verlag
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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
