现货Modern Industrial Statistics: With Applications in R, MINITAB and JMP[9781118456064]

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上海宝山

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作者Zacks, Shelemyahu ; Kenett, Ron S ; Amberti, Daniele

出版社Wiley

ISBN9781118456064

出版时间2014-01

装帧精装

纸张其他

页数592页

正文语种英语

上书时间2023-08-16

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商品描述: Modern Industrial Statistics: with applications in R, MINITAB and JMP book is a prime reference for tools of industrial statistics used in business and industry.? It combines theoretical background with examples and references to R, MINITAB and JMP so that practitioners can find relevant material on both the foundation and implementation tools to support their work. Fully revised and updated, it features approximately 1/3 new material addressing topics such as computer intensive data analysis, acceptance sampling, statistical process control, design of experiments, customer surveys design and analysis. Examples and case studies from the electronics, metal work, pharmaceutical and financial industries are also featured. This book is an expanded and fully revised version of Modern Industrial Statistics: Design and control of quality and reliability, 1998, by Kenett and Zacks. The authors combine substantial experience in teaching industrial statistics courses with their background as consultants to industry. The result is the most practical, comprehensive, and fully computer-integrated text available for industrial engineering and quality control courses available today.

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