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Название: Modern Industrial Statistics: With Applications in R, MINITAB and JMP
Год: 2014
Издатель: Wiley
Язык: english
Кол-во страниц: 565
Формат: PDF
Описание:
Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability.
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Для просмотра ссылки Войдиили Зарегистрируйся
Название: Modern Industrial Statistics: With Applications in R, MINITAB and JMP
Год: 2014
Издатель: Wiley
Язык: english
Кол-во страниц: 565
Формат: PDF
Описание:
Fully revised and updated, this book combines a theoretical background with examples and references to R, MINITAB and JMP, enabling practitioners to find state-of-the-art material on both foundation and implementation tools to support their work. Topics addressed include computer-intensive data analysis, acceptance sampling, univariate and multivariate statistical process control, design of experiments, quality by design, and reliability using classical and Bayesian methods. The book can be used for workshops or courses on acceptance sampling, statistical process control, design of experiments, and reliability.
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