Modern industrial statistics : with applications in R, MINITAB and JMP / Ron Kenett, Shelemyahu Zacks and Daniele Amberti.
Material type:
TextSeries: Statistics in practicePublisher: Chichester, West Sussex : WILEY, 2014Copyright date: ©2014Edition: Second edition. Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele AmbertiDescription: xx, 563 pages : illustrations ; 26 cmContent type: - text
- computer
- online resource
- 9781118456064 (hbk.)
- 658.562 23
- TS156 .K42 2014
| Item type | Current library | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|
| E-Resources | Main Library E-Resources | 658.562 K33 (Browse shelf(Opens below)) | Available | E001226 |
Covering industrial statistics tools used in business and industry, this book combines theoretical background with examples and references to R, MINITAB, and JMP to provide relevant material on both the foundation and implementation tools to support their work.
Formerly CIP. Uk
Previous edition by Ron S. Kenett, Shelemyahu Zacks.
Includes bibliographical references and index.
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.
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