Presentation 2002/11/8
Analysis of Multi-level Structure Data of Quality Control
Toshihumi MORIWAKI, Masamori IHARA,
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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.
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Keyword(in English) multi-level / structured data / mixture linear models / generalized least squares
Paper # R2002-44
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Conference Date 2002/11/8(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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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
Date of Issue