000 | a | ||
---|---|---|---|
999 |
_c30901 _d30901 |
||
008 | 220601b xxu||||| |||| 00| 0 eng d | ||
020 | _a9781107185920 | ||
082 |
_a519.54 _bMOU |
||
100 | _aMoulin, Pierre | ||
245 | _aStatistical inference for engineers and data scientists | ||
260 |
_bCambridge University Press, _c2018 _aCambridge : |
||
300 |
_axxi, 399 p. ; _bill., _c26 cm |
||
365 |
_b55.99 _cGBP _d102.80 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aStatistical Inference for Engineers and Data Scientists A mathematically accessible and up-to-date introduction to the tools needed to address modern inference problems in engineering and data science, ideal for graduate students taking courses on statistical inference and detection and estimation, and an invaluable reference for researchers and professionals. | ||
650 | _aMathematical statistics | ||
650 | _aStatistical methods | ||
650 | _aQuantitative research | ||
700 | _aVeeravalli, Venugopal V. | ||
942 |
_2ddc _cBK |