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005 20230320112016.0
008 230320s2020 sz a ob 001 0 eng d
020 _z9783030533281
_q(print)
040 _aYDX
_beng
_erda
_epn
_cYDX
_dEMU
_dOCLCO
_dYDXIT
_dSFB
_dGW5XE
_dERF
_dEBLCP
_dOCLCF
_dUKAHL
_dBD-SySUS
082 0 4 _a530.8
_223
_bCRI
100 1 _aCrowder, Stephen,
_eauthor.
_960838
245 1 0 _aIntroduction to statistics in metrology /
_cStephen Crowder, Collin Delker, Eric Forrest, Nevin Martin.
264 1 _aCham, Switzerland :
_bSpringer,
_c[2020]
300 _axxi, 347 pages :
_bill. ;
_c24 cm.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aThis book provides an overview of the application of statistical methods to problems in metrology, with emphasis on modelling measurement processes and quantifying their associated uncertainties. It covers everything from fundamentals to more advanced special topics, each illustrated with case studies from the authors' work in the Nuclear Security Enterprise (NSE). The material provides readers with a solid understanding of how to apply the techniques to metrology studies in a wide variety of contexts. The volume offers particular attention to uncertainty in decision making, design of experiments (DOEx) and curve fitting, along with special topics such as statistical process control (SPC), assessment of binary measurement systems, and new results on sample size selection in metrology studies. The methodologies presented are supported with R script when appropriate, and the code has been made available for readers to use in their own applications. Designed to promote collaboration between statistics and metrology, this book will be of use to practitioners of metrology as well as students and researchers in statistics and engineering disciplines.
650 0 _aMetrology
_xStatistical methods.
_960839
650 0 _aMeasurement
_xMathematical models.
_960840
650 7 _aMeasurement
_xMathematical models.
_2fast
_0(OCoLC)fst01725775
_960841
700 1 _aDelker, Collin,
_eauthor.
_960842
700 1 _aForrest, Eric,
_eauthor.
_960843
700 1 _aMartin, Nevin,
_eauthor.
_960844
776 0 8 _cOriginal
_z303053328X
_z9783030533281
_w(OCoLC)1158482963
856 4 0 _3SpringerLink eBooks
_uhttps://link.springer.com/10.1007/978-3-030-53329-8
942 _2ddc
_cBK
999 _c84515
_d84515