000			01535nam a2200241 4500
003			OSt
005			20240312155113.0
008			240312b |||||||| |||| 00| 0 eng d
020			_a9781119714903
040			_cYeshi
082			_a620.00452 KEN
100			_aKenett, Ron S., & Zacks.
245			_a Modern industrial statistics : _bwith applications in R, MINITAB and JMP / _cRon S. Kenett.
250			_a3rd ed.
260			_aHoboken, NJ, USA : _bWiley, _c2021.
300			_axxv, 849 p. : _bill. ; _c24 cm.
504			_aIncludes bibliographical references and index.
520			_a"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"
650			_aReliability (Engineering) _x Statistical methods.
650			_aQuality control _xStatistical methods.
700			_aZacks, Shelemyahu,
942			_2ddc _cBK
999			_c16281 _d16281