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Modern Industrial Statistics : with applications in R, MINITAB and JMP.

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 anal...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kenett, Ron
Otros Autores: Zacks, Shelemyahu, Amberti, Daniele
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Wiley, 2013.
Edición:2nd ed.
Colección:Statistics in practice.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario: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 experime.
Notas:3.10.1 Distribution of the sample variance.
Descripción Física:1 online resource (587 pages)
ISBN:9781118763681
1118763688