000 03767cam a2200685Ii 4500
999 _c185785
001 861559452
003 OCoLC
003 ER-O/L-Wiley-InterSci
005 20170907154357.0
006 m o d
007 cr |n|
008 131026t20142013gr a o 001 0 eng d
020 _a9783527410866
040 _aSPU
049 _amain
050 4 _aQC 174.8
_bN37S 2014
100 _aNarsky, Ilya
_9225325
245 1 0 _aStatistical analysis techniques in particle physics :
_bfits, density estimation and supervised learning /
_cIlya Narsky and Frank C. Porter
260 _aWeinheim, Germany :
_bWiley-VCH Verlag GmbH & Co. KGaA,
_c2014
300 _axvii, 441 p.
_bill. ;
_c24 cm.
449 _a140501
504 _aIncludes index
505 0 _aGoodness of fit
505 0 _aData preprocessing
505 0 _aDecision trees
520 _aModern analysis of HEP data needs advanced statistical tools to separate signal from background. This is the first book which focuses on machine learning techniques. It will be of interest to almost every high energy physicist, and, due to its coverage, suitable for students
650 0 _aCONDENSED MATTER
_9225333
650 0 _aPARTICLES (NUCLEAR PHYSICS)
_xSTATISTICAL METHODS
_9225331
650 0 0 _aPHYSICS
_933147
650 0 _aDENSITY
_9225332
650 0 0 _aSTATISTICAL PHYSICS
_949539
655 4 _aElectronic books
850 _aSPU
910 _aสำนักวิชาศึกษาทั่วไป (ผศ. อำนาจ วังจีน) งาน SPU Books Fair 2017
_bร้านเมดซายน์บุ๊ค
_c040817
_pF066887
942 _2lcc
_cGEN
998 _ajirawan 0917
_bjirawan 0917