MARC record from Internet Archive

LEADER: 04670cam 2200901 a 4500
001 ocm33665373
003 OCoLC
005 20200805191147.0
008 951101s1996 enka b 001 0 eng
010 $a 95049423
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035 $a(OCoLC)33665373$z(OCoLC)877405124$z(OCoLC)1027224357$z(OCoLC)1167019359
050 00 $aQA273$b.A66 1996
082 00 $a519.2$220
084 $a31.70$2bcl
084 $aSK 800$2rvk
084 $aDAT 570f$2stub
084 $aMAT 600f$2stub
084 $a31.70.$2bcl
100 1 $aApplebaum, David,$d1956-
245 10 $aProbability and information :$ban integrated approach /$cDavid Applebaum.
260 $aCambridge ;$aNew York :$bCambridge University Press,$c1996.
300 $axiii, 212 pages :$billustrations ;$c26 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
504 $aIncludes bibliographical references and index.
505 0 $a1. Introduction -- 2. Combinatories -- 3. Sets and measures -- 4. Probability -- 5. Discrete random variables -- 6. Information and entropy -- 7. Communication -- 8. Random variables with probability density functions -- 9. Random vectors -- Appendix 1: Proof By Mathematical Induction -- Appendix 2: Lagrange multipliers -- Appendix 3: Integration of exp( -1/2x[superscript 2]) -- Appendix 4: Table of probabilities associated with the standard normal distribution.
520 $aThis elementary introduction to probability theory and information theory is suitable as a textbook for beginning students in mathematics, statistics or computer science who have some knowledge of basic calculus. It provides a clear and systematic foundation to the subject; the concept of probability is given particular attention via a highly simplified discussion of measures on Boolean algebras. The theoretical ideas are then applied to practical areas such as statistical inference, random walks, statistical mechanics and communications modelling. Topics dealt with include discrete and continuous random variables, entropy and mutual information, maximum entropy methods, the central limit theorem and the coding and transmission of information. Many examples and exercises are included that illustrate how the theory can be applied, for example to information technology. Detailed solutions to most exercises are available electronically.
650 0 $aProbabilities.
650 0 $aInformation theory.
650 7 $aInformation theory.$2fast$0(OCoLC)fst00973149
650 7 $aProbabilities.$2fast$0(OCoLC)fst01077737
650 7 $aInformationstheorie$2gnd
650 7 $aWahrscheinlichkeitsrechnung$2gnd
650 7 $aWahrscheinlichkeitstheorie$2gnd
650 17 $aWaarschijnlijkheidstheorie.$2gtt
650 17 $aInformatietheorie.$2gtt
650 7 $aProbabilités.$2ram
650 7 $aEntropie (théorie de l'information)$2ram
650 7 $aInformation, Théorie de l'.$2ram
653 00 $astochastische processen
653 00 $astochastic processes
653 00 $acommunicatietheorie
653 00 $acommunication theory
653 00 $ainformatie
653 00 $ainformation
653 00 $acybernetica
653 00 $acybernetics
653 00 $awaarschijnlijkheidstheorie
653 00 $aprobability theory
653 10 $aProbability Theory, Sampling Theory
653 10 $aWaarschijnlijkheids- en bemonsteringstheorie
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/cam021/95049423.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/description/cam027/95049423.html
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938 $aBaker and Taylor$bBTCP$n95049423
938 $aYBP Library Services$bYANK$n467963
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948 $hNO HOLDINGS IN P4A - 267 OTHER HOLDINGS