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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
Published in: journal Journal of Nonparametric Statistics, Volume 15, Issue 2 April 2003 , pages 137 - 150
Number of References: 18
Formats available: PDF (English)
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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)(Vaumlnnman, 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.
Keywords: Quantile Estimator; Process Capability Index; Asymptotic Distribution; Specification Limits
view references (18)
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