Modern industrial statistics: with applications in R, MINITAB and JMP /

"Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality is its main concern. Variability is inherent in all processes, whether they be manufacturing processes or se...

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Bibliographic Details
Main Authors: Kenett, Ron
Corporate Authors: Wiley Online Library (Online service)
Group Author: Zacks, Shelemyahu, 1932-; Amberti, Daniele
Published: Wiley,
Publisher Address: Hoboken, NJ :
Publication Dates: 2021.
Literature type: eBook
Language: English
Edition: Third edition.
Series: Statistics in practice
Subjects:
Online Access: https://onlinelibrary.wiley.com/doi/book/10.1002/9781119714941
Summary: "Industrial Statistics is concerned with maintaining and improving the quality of goods and services. It involves a broad range of statistical tools but maintaining and improving quality is its main concern. Variability is inherent in all processes, whether they be manufacturing processes or service processes. This variability must be controlled to create high quality goods and services and must be reduced to improve quality. Industrial Statistics focuses on the use of statistical thinking, i.e., the appreciation of the inherent variability of all processes in order that all possible outcomes can be assessed. It also focuses on developing skills for modeling data and designing experiments that can lead to improvements in performance and reductions in variablity"--
Item Description: Description based on print version record.
Carrier Form: 1 online resource (xxv, 849 pages) : illustrations.
Also available in print.
Bibliography: Includes bibliographical references and index.
ISBN: 9781119714941 (electronic bk.)
9781119714903
Index Number: TS156
CLC: F402.4