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Основной контент книги Modern Industrial Statistics
Text PDF

Volume 587 pages

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Modern Industrial Statistics

with applications in R, MINITAB and JMP
Читайте только на Литрес

The book cannot be downloaded as a file, but can be read in our app or online on the website.

$107.49

About the book

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.

Graduate and post-graduate students in the areas of statistical quality and engineering, as well as industrial statisticians, researchers and practitioners in these fields will all benefit from the comprehensive combination of theoretical and practical information provided in this single volume.

Modern Industrial Statistics: With applications in R, MINITAB and JMP:

Combines a practical approach with theoretical foundations and computational support. Provides examples in R using a dedicated package called MISTAT, and also refers to MINITAB and JMP. Includes exercises at the end of each chapter to aid learning and test knowledge. Provides over 40 data sets representing real-life case studies. Is complemented by a comprehensive website providing an introduction to R, and installations of JMP scripts and MINITAB macros, including effective tutorials with introductory material: www.wiley.com/go/modern_industrial_statistics.

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Age restriction:
0+
Release date on Litres:
03 October 2018
Volume:
587 p.
ISBN:
9781118763681
Total size:
11 МБ
Total number of pages:
587
Publisher:
Copyright holder:
John Wiley & Sons Limited
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