ESTIMATING PROCESS CAPABILITY INDEXES FOR NONNORMAL PEARSONIAN POPULATIONS
| dc.citation.epage | 388 | en_US |
| dc.citation.issue | 5 | en_US |
| dc.citation.spage | 386 | en_US |
| dc.citation.volume | 11 | en_US |
| dc.citation.woscount | 9 | |
| dc.contributor.author | PEARN, WL | en_US |
| dc.contributor.author | CHEN, KS | en_US |
| dc.contributor.department | 交大名義發表 | zh_TW |
| dc.contributor.department | 工業工程與管理學系 | zh_TW |
| dc.contributor.department | National Chiao Tung University | en_US |
| dc.contributor.department | Department of Industrial Engineering and Management | en_US |
| dc.date.accessioned | 2014-12-08T15:03:11Z | |
| dc.date.available | 2014-12-08T15:03:11Z | |
| dc.date.issued | 1995-09-01 | en_US |
| dc.description.abstract | Clements(1) introduced a method for calculating the estimators of two classical process capability indices (PCI), C-p and Cpk, for non-normal Pearsonian populations. Pearn and Kotz(2) applied Clements' method to obtain first approximation estimators of PCIs for non-normal populations to the two more advanced PCIs, C-pm and C-pmk developed by Chan et al.(3) and Pearn ct al.(4) In this paper, we consider a different approach for calculating the estimators of the four PCIs. The new approach may be viewed as a modification of Clements' method. Comparisons between Clements' and the proposed new methods are also provided. | en_US |
| dc.identifier.issn | 0748-8017 | en_US |
| dc.identifier.journal | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/1750 | |
| dc.identifier.wosnumber | WOS:A1995TB27300010 | |
| dc.language.iso | en_US | en_US |
| dc.subject | CAPABILITY INDEXES | en_US |
| dc.subject | NONNORMAL PEARSONIAN POPULATIONS | en_US |
| dc.subject | UNCENTERED TARGET | en_US |
| dc.title | ESTIMATING PROCESS CAPABILITY INDEXES FOR NONNORMAL PEARSONIAN POPULATIONS | en_US |
| dc.type | Article | en_US |