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.

By:

Kenett, Ron [author.]

Contributor(s):

Material type:

TextSeries: Statistics in practicePublisher: Hoboken, NJ : Wiley, 2021Edition: Third editionDescription: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9781119714965
9781119714927

Subject(s):

Additional physical formats: Print version:: Modern industrial statisticsLOC classification:

TS156 .K46 2021

Action note:

Cataloging Notes: 20251023 STAMIU-0199STAMIU-0199

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"-- Provided by publisher.

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Holdings
Item type	Current library	Collection	Call number	Status	Barcode
Book	AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks	Non-fiction	TS156 .K46 2021 (Browse shelf(Opens below))	Available	30129

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

Description based on print version record and CIP data provided by publisher; resource not viewed.

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