000 | 02455nam a22003257a 4500 | ||
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001 | sulb0077668 | ||
003 | BD-SySUS | ||
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 |