ASYMPTOTIC ANALYSIS OF ESTIMATORS FOR CNp (u, v) BASED ON QUANTILE ESTIMATORS
Authors:
Sy-Mien Chen a;
Yu-Sheng Hsu a
| Affiliation: | a Department of Mathematics, Fu-Jen Catholic University, Taipei, Taiwan 242, ROC. |
DOI:
10.1080/1048525031000089338
Publication Frequency:
8 issues per year
Subjects:
Mathematical Economics;
Mathematical Finance;
Medical Statistics;
Statistical Theory & Methods;
Statistics;
Statistics for the Biological Sciences;
Stochastic Models & Processes;
Number of References: 18
Formats available:
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Abstract
Pearn and Chen (1997) proposed a class of capability indices Np (u, v) which generalize the process capability indices Cp (u, v)(V
nnman, 1995) to accommodate cases where the underlying distributions may not be normal. The current indices Np (u, v) are functions of quantiles which may not be known. In this article, we apply some existing quantile estimators to estimate the class of indices CNp (u, v). It is shown that the estimators of Np (u, v) we propose are all asymptotically normally distributed and equivalent and can perform better than the estimated Cp (u, v) in some instances.
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| Keywords: Quantile Estimator; Process Capability Index; Asymptotic Distribution; Specification Limits |
| view references (18) |

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nnman, 1995) to accommodate cases where the underlying distributions may not be normal. The current indices Np (u, v) are functions of quantiles which may not be known. In this article, we apply some existing quantile estimators to estimate the class of indices CNp (u, v). It is shown that the estimators of Np (u, v) we propose are all asymptotically normally distributed and equivalent and can perform better than the estimated Cp (u, v) in some instances.
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