000 02852cam a2200457 i 4500
003 OCoLC
005 20220727124928.0
008 170331t20182018enkb ||0| ||eng d
010 _a 2017014908
011 _aDirect search result
011 _aMARC Score : 10950(22650) : OK
020 _a1108418740
_qhardcover (alkaline paper)
020 _a9781108418744
_qhardcover (alkaline paper)
020 _a1108407846
_qpaperback (alkaline paper)
020 _a9781108407847
_qpaperback (alkaline paper)
035 _a(ATU)b26630199
035 _a(OCoLC)983786116
040 _aDLC
_beng
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042 _apcc
050 0 0 _aQA273.2
_b.T55 2018
082 0 0 _a519.2
_223
099 _a519.2 TIJ
100 1 _aTijms, H. C.,
_eauthor.
_9283787
245 1 0 _aProbability :
_ba lively introduction /
_cHenk Tijms.
264 1 _aCambridge :
_bCambridge University Press,
_c2018.
264 4 _c©2018
300 _ax, 535 pages :
_billustrations ;
_c23 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 0 0 _g1.
_tFoundations of probability theory --
_g2.
_tConditional probability --
_g3.
_tDiscrete random variables --
_g4.
_tContinuous random variables --
_g5.
_tJointly distributed random variables --
_g6.
_tMultivariate normal distribution --
_g7.
_tConditioning by random variables --
_g8.
_tGenerating functions --
_g9.
_tAdditional topics in probability --
_g10.
_tDiscrete-time Markov chains --
_g11.
_tContinuous-time Markov chains --
_gAppendix A.
_tCounting methods --
_gAppendix B.
_tBasics of set theory --
_gAppendix C.
_tSome basic results from calculus --
_gAppendix D.
_tBasics of Monte Carlo simulation.
520 _a"Probability has applications in many areas of modern science, not to mention in our daily life. Its importance as a mathematical discipline cannot be overrated, and it is a fascinating and surprising topic in its own right . This engaging textbook with its easy-to-follow writing style provides a comprehensive, yet concise introduction to the subject. It covers all of the standard material for undergraduate and first-year-graduate-level courses as well as many topics that are usually not found in standard text - such as Bayesian inference, Markov chain Monte Carlo simulation, and Chernoff bounds."--Publisher's website.
650 0 _aProbabilities
_vTextbooks
_9659847
655 7 _aTextbooks.
_2lcgft
_9370309
776 0 8 _iebook version :
_z9781108314138
907 _a.b26630199
_b06-09-21
_c13-05-19
942 _cB
945 _a519.2 TIJ
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999 _c1502172
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