02222nam 2200481 450 991083097990332120231110232352.01-119-71496-61-119-71494-X1-119-71492-3(CKB)4100000011920393(MiAaPQ)EBC6579278(Au-PeEL)EBL6579278(OCoLC)1250077209(EXLCZ)99410000001192039320211213d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierModern industrial statistics with applications in R, MINITAB and JMP /Ron. S Kenett and Shelemyahu Zacks3rd ed.Hoboken, New Jersey :Wiley,[2021]©20211 online resource (883 pages)Statistics in Practice 1-119-71490-7 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.Statistics in Practice Quality controlStatistical methodsQuality controlStatistical methods.658.562Kenett Ron874200Zacks Shelemyahu1932-MiAaPQMiAaPQMiAaPQBOOK9910830979903321Modern industrial statistics4054698UNINA