| PRINCIPAL COMPONENTS REGRESSION FOR ROUTINE MULTICOMPONENT UV DETERMINATIONS: A VALIDATION PROTOCOL |
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| 引用本文： | PAULJ.GEMPERLINE,ALGER SALT. PRINCIPAL COMPONENTS REGRESSION FOR ROUTINE MULTICOMPONENT UV DETERMINATIONS: A VALIDATION PROTOCOL[J]. 地理学报(英文版), 1989, 0(1) |
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| 作者姓名： | PAULJ.GEMPERLINE ALGER SALT |
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| 作者单位： | Department of Chemistry East Carolina University Greenville NC 27834 U.S.A.，Burroughs Wellcome Co. P.O. Box 1887 Greenville NC 27834 U.S.A. |
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| 摘 要： | A validation protocol for multicomponent spectroscopic assays based on principal componentsregression is described. Factorial design and hypothesis tests are used to establish the linearity andabsence of interaction between components in the regression model. Testing considers multiple responsevariables simultaneously so that correlation between residuals is properly treated. Assay reproducibilityand sensitivity to related substances are evaluated.
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PRINCIPAL COMPONENTS REGRESSION FOR ROUTINE MULTICOMPONENT UV DETERMINATIONS: A VALIDATION PROTOCOL |
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| PAUL J. GEMPERLINE. PRINCIPAL COMPONENTS REGRESSION FOR ROUTINE MULTICOMPONENT UV DETERMINATIONS: A VALIDATION PROTOCOL[J]. Journal of Geographical Sciences, 1989, 0(1) |
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| Authors: | PAUL J. GEMPERLINE |
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| Affiliation: | PAUL J. GEMPERLINE,Department of Chemistry,East Carolina University,Greenville,NC,U.S.A ALGER SALT,Burroughs Wellcome Co.,P.O. Box,Greenville,NC,U.S.A |
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| Abstract: | A validation protocol for multicomponent spectroscopic assays based on principal components regression is described. Factorial design and hypothesis tests are used to establish the linearity and absence of interaction between components in the regression model. Testing considers multiple response variables simultaneously so that correlation between residuals is properly treated. Assay reproducibility and sensitivity to related substances are evaluated. |
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| Keywords: | Principal components regression Factorial design Hypothesis testing Assay validation |
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