ebook,Ron S. Kenett, Shelemyahu Zacks, Daniele Amberti,Modern Industrial Statistics: with applications in R, MINITAB and JMP (Statistics in Practice),Wiley,Probability & Statistics - General,Business & Economics/Quality Control,Business Statistics,Engineering Statistics,Industrial Engineering (General),MATHEMATICS / Probability & Statistics / General,Mathematics,Probability & Statistics - General,Production & quality control management,Quality control,Quality control - Statistical methods,Quality control;Statistical methods.,R (Computer program language),R (Computer program language).,Reliability (Engineering),Reliability (Engineering) - Statistical methods,Reliability (Engineering);Statistical methods.,Ron Kenett; Shelemyahu Zacks; Daniele Amberti; Modern Industrial Statistics; industrial statistics; industrial statistics implementation; computer intensive data analysis; acceptance sampling; statistical process control; design of experiments; customer survey analysis; customer survey design,Science/Mathematics,Statistical methods,Business & Economics/Quality Control,MATHEMATICS / Probability & Statistics / General,Business Statistics,Industrial Engineering (General),Quality control,Reliability (Engineering),Statistical methods,Mathematics,Science/Mathematics,Production & quality control management" />