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A Nonparametric Regression Approach to Syringe Grading for Quality Improvement

التفاصيل البيبلوغرافية
العنوان: A Nonparametric Regression Approach to Syringe Grading for Quality Improvement
المؤلفون: Michael O'Connell, Gerry Gray, Perry D. Haaland, David Martin, Doug Nychka
المصدر: Journal of the American Statistical Association. 90:1171-1178
بيانات النشر: Informa UK Limited, 1995.
سنة النشر: 1995
مصطلحات موضوعية: Statistics and Probability, Computer science, Model selection, Regression analysis, computer.software_genre, Cross-validation, Nonparametric regression, Smoothing spline, Data mining, Statistics, Probability and Uncertainty, Grading (education), computer, Syringe, Smoothing
الوصف: In the biomedical products industry, measures of the quality of individual clinical specimens or manufacturing production units are often available in the form of high-dimensional data such as continuous recordings obtained from an analytical instrument. These recordings are then examined by experts in the field who extract certain features and use these to classify individuals. To formalize and quantify this procedure, an approach for extracting features from recordings based on nonparametric regression is described. These features are then used to build a classification model that incorporates the knowledge of the expert. The procedure is illustrated with the problem of grading of syringes from associated friction profile data. Features of the syringe friction profiles used in the classification are extracted via smoothing splines, and grades of the syringes are assigned by an expert tribologist. A nonlinear classification model is constructed to predict syringe grades based on the extracted fe...
تدمد: 1537-274X
0162-1459
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::12802580124155e026c80b745b3ffb94
https://doi.org/10.1080/01621459.1995.10476623
رقم الأكسشن: edsair.doi...........12802580124155e026c80b745b3ffb94
قاعدة البيانات: OpenAIRE
الوصف
تدمد:1537274X
01621459