MARC Record from harvard_bibliographic_metadata

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008 130920s2014 enk ob 001 0 eng
010 $a 2013038429
020 $a9781118763179 (electronic bk.)
020 $a1118763173 (electronic bk.)
020 $z9781118763186
020 $z1118763181
020 $z9780470972106 (cloth)
020 $a130611859X (electronic bk.)
020 $a9781306118590 (electronic bk.)
020 $a9781118763155 (electronic bk.)
020 $a1118763157 (electronic bk.)
020 $z0470972106 (cloth)
035 0 $aocn858778356
040 $aDLC$beng$cDLC$dYDX$dOCLCO$dN$T$dYDXCP$dQGK$dCUX
042 $apcc
050 14 $aRA1057$b.S73 2014
060 4 $aW 750
072 7 $aMED$x030000$2bisacsh
072 7 $aMED$x076000$2bisacsh
072 7 $aMED$x078000$2bisacsh
082 00 $a614/.12$223
245 00 $aStatistical analysis in forensic science$h[electronic resource] :$bevidential value of multivariate physicochemical data /$cGrzegorz Zadora, Agnieszka Martyna, Daniel Ramos, Colin Aitken.
260 $aChichester, West Sussex :$bJohn Wiley & Sons Inc.,$c2014.
300 $a1 online resource (xiv, 322 p.)
504 $aIncludes bibliographical references and index.
520 $a"A practical guide for determining the evidential value of physicochemical data. Microtraces of various materials (e.g. glass, paint, fibres, and petroleum products) are routinely subjected to physicochemical examination by forensic experts, whose role is to evaluate such physicochemical data in the context of the prosecution and defence propositions. Such examinations return various kinds of information, including quantitative data. From the forensic point of view, the most suitable way to evaluate evidence is the likelihood ratio. This book provides a collection of recent approaches to the determination of likelihood ratios and describes suitable software, with documentation and examples of their use in practice. The statistical computing and graphics software environment R, pre-computed Bayesian networks using Hugin Researcher and a new package, calcuLatoR, for the computation of likelihood ratios are all explored."--Publisher info.
588 $aDescription based on online resource; title from digital title page (viewed on Nov. 19, 2013).
538 $aMode of access: World Wide Web.
650 7 $aMEDICAL / Public Health.$2bisacsh
650 7 $aMEDICAL / Preventive Medicine.$2bisacsh
650 7 $aMEDICAL / Forensic Medicine.$2bisacsh
650 0 $aChemistry, Forensic.
650 0 $aForensic statistics.
650 0 $aChemometrics.
650 12 $aForensic Sciences$xstatistics & numerical data.
650 22 $aChemistry, Analytic$xstatistics & numerical data.
650 22 $aData Interpretation, Statistical.
700 1 $aZadora, Grzegorz.
700 1 $aMartyna, Agnieszka.
700 1 $aRamos, Daniel.
700 1 $aAitken, C. G. G.
776 08 $iPrint version:$tStatistical analysis in forensic science$dChichester, West Sussex : John Wiley & Sons Inc., c2014$z9780470972106$w(DLC) 2013031698
988 $a20140710
906 $0DLC