Presentation | 2002/11/8 Analysis of Multi-level Structure Data of Quality Control Toshihumi MORIWAKI, Masamori IHARA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | When we control a manufacturing process, a suitable statistical method has been adopted. Recently, the development of computer hardware and statistical software becomes to use the complex statistical models such as the mixed linear models and structural equation models. However, it can not easily analyze the multi-level structured data because the computational or model specification difficulty. Goldstein (1986) and Goldstein and McDonald (1988) developed mixture linear models and described the excellent algorithm to fit the model to real data. In this paper, we describe to use the extended model in multivariate multi-level structured data and propose an algorithm to use the model. Our applications to real data show the possibility of the use in the fields of the statistical process control or the statistical quality control. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | multi-level / structured data / mixture linear models / generalized least squares |
Paper # | R2002-44 |
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Committee | R |
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Conference Date | 2002/11/8(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Reliability(R) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Analysis of Multi-level Structure Data of Quality Control |
Sub Title (in English) | |
Keyword(1) | multi-level |
Keyword(2) | structured data |
Keyword(3) | mixture linear models |
Keyword(4) | generalized least squares |
1st Author's Name | Toshihumi MORIWAKI |
1st Author's Affiliation | Osaka Electro-Communication University, Division of Information and Computer Sciences() |
2nd Author's Name | Masamori IHARA |
2nd Author's Affiliation | Osaka Electro-Communication University, Division of Information and Computer Sciences |
Date | 2002/11/8 |
Paper # | R2002-44 |
Volume (vol) | vol.102 |
Number (no) | 454 |
Page | pp.pp.- |
#Pages | 4 |
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