Kenett, Ron, <br/><br/>
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. 
 - Third edition. 
 - 1 online resource 
 - Statistics in practice .
<br/><br/>Includes bibliographical references and index. 
<br/><br/> "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"-- 
<br/><br/><label>ISBN: </label>9781119714965 9781119714927 
<br/><br/><label>LCCN: </label>2020051134 
<br/><br/><label>Subjects--Uniform Titles: </label><br/>Minitab.<br/>JMP (Computer file)
<br/><br/><label>Subjects--Topical Terms: </label><br/>Quality control--Statistical methods.<br/>Reliability (Engineering)--Statistical methods.<br/>R (Computer program language)
<br/><br/><label>LC Class. No.: </label>TS156  / .K46 2021