TY  - BOOK
AU  - Kenett,Ron
AU  - Zacks,Shelemyahu
AU  - Amberti,Daniele
TI  - Modern industrial statistics: with applications in R, MINITAB and JMP 
T2  - Statistics in practice
SN  - 9781119714965
AV  - TS156 .K46 2021
PY  - 2021///
CY  - Hoboken, NJ
PB  - Wiley
KW  - Minitab
KW  - JMP (Computer file)
KW  - Quality control
KW  - Statistical methods
KW  - Reliability (Engineering)
KW  - R (Computer program language)
N1  - Includes bibliographical references and index
N2  - "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"--
ER  -