Modern industrial statistics : with applications in R, MINITAB and JMP / Ron S. Kenett, Chairman and CEO, the KPA Group, Raanana, Israel Research Professor, University of Turin, Turin, Italy, and Senior Research Fellow, Samuel Neaman Institute for National Policy Research, Technion, Israel, Shelemyahu Zacks, Distinguished Professor, Binghamton University, Binghamton, USA ; with contributions from Daniele Amberti, Turin, Italy.
Material type:
TextSeries: Statistics in practicePublisher: Hoboken, NJ : Wiley, 2021Edition: Third editionDescription: 1 online resourceContent type: - text
- computer
- online resource
- 9781119714965
- 9781119714927
- TS156 .K46 2021
- Cataloging Notes: 20251023 STAMIU-0199STAMIU-0199
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AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks | Non-fiction | TS156 .K46 2021 (Browse shelf(Opens below)) | Available | 30129 |
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Includes bibliographical references and index.
"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"-- Provided by publisher.
Cataloging Notes: 20251023 STAMIU-0199STAMIU-0199
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