000 02283nam a22003978a 4500
005 20250919005615.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 151016s2014||||enk s ||1 0|eng|d
020 _a9781139565608
_qelectronic book
_cRM856.05
039 9 _a201606081017
_basmany
_c201601150922
_dhayat
_c201601140904
_dlatihan
_c201601140835
_dlatihan
_y10-16-2015
_zhafiz
_wUPO_10044530-hafizupload16102015.mrc
_x35
040 _aUkCbUP
_cUkCbUP
_erda
090 _aebook
090 _aebookQC174.85.P76
_bL56 2014
100 1 _aLinden, Wolfgang von der,
_eauthor.
245 1 0 _aBayesian probability theory :
_bapplications in the Physical Sciences /
_cWolfgang von der Linden, Volker Dose, Udo von Toussaint.
264 1 _aCambridge :
_bCambridge University Press,
_c2014.
300 _a1 online resource (649 pages) :
_bdigital, PDF file(s).
336 _atext
_2rdacontent
337 _acomputer
_2rdamedia
338 _aonline resource
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 08 Oct 2015).
520 _aFrom the basics to the forefront of modern research, this book presents all aspects of probability theory, statistics and data analysis from a Bayesian perspective for physicists and engineers. The book presents the roots, applications and numerical implementation of probability theory, and covers advanced topics such as maximum entropy distributions, stochastic processes, parameter estimation, model selection, hypothesis testing and experimental design. In addition, it explores state-of-the art numerical techniques required to solve demanding real-world problems. The book is ideal for students and researchers in physical sciences and engineering.
650 0 _aProbabilities.
650 0 _aBayesian statistical decision theory.
700 1 _aDose, Volker,
_eauthor.
700 1 _aToussaint, Udo von,
_eauthor.
773 0 _tCambridge Books Online.
776 0 8 _iPrint version:
_z9781107035904.
856 4 0 _uhttps://eresourcesptsl.ukm.remotexs.co/user/login?url=http://dx.doi.org/10.1017/CBO9781139565608
907 _a.b16219740
_b2022-10-14
_c2019-11-12
942 _c01
_n0
_kebook
914 _avtls003594641
998 _ae
_b2015-03-10
_cm
_dz
_feng
_genk
_y0
_z.b16219740
999 _c599677
_d599677