LEADER 05645nam 2200757 450 001 9910139027903321 005 20210916124325.0 010 $a1-118-76318-1 010 $a1-118-76315-7 010 $a1-118-76317-3 035 $a(CKB)2550000001159905 035 $a(EBL)1557286 035 $a(OCoLC)858778356 035 $a(SSID)ssj0001041546 035 $a(PQKBManifestationID)11577322 035 $a(PQKBTitleCode)TC0001041546 035 $a(PQKBWorkID)11010091 035 $a(PQKB)10257915 035 $a(DLC) 2013038429 035 $a(Au-PeEL)EBL1557286 035 $a(CaPaEBR)ebr10804687 035 $a(CaONFJC)MIL543110 035 $a(CaSebORM)9781118763186 035 $a(MiAaPQ)EBC1557286 035 $a(PPN)191455814 035 $a(EXLCZ)992550000001159905 100 $a20130813d2014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistical analysis in forensic science $eevidential value of multivariate physicochemical data /$fGrzegorz Zadora [and three others] 205 $a1st edition 210 1$aChichester, West Sussex :$cWiley,$d2014. 215 $a1 online resource (338 p.) 300 $aDescription based upon print version of record. 311 $a0-470-97210-6 311 $a1-306-11859-X 320 $aIncludes bibliographical references and index. 327 $aStatistical Analysis in Forensic Science; Contents; Preface; 1 Physicochemical data obtained in forensic science laboratories; 1.1 Introduction; 1.2 Glass; 1.2.1 SEM-EDX technique; 1.2.2 GRIM technique; 1.3 Flammable liquids: ATD-GC/MS technique; 1.4 Car paints: Py-GC/MS technique; 1.5 Fibres and inks: MSP-DAD technique; References; 2 Evaluation of evidence in the form of physicochemical data; 2.1 Introduction; 2.2 Comparison problem; 2.2.1 Two-stage approach; 2.2.2 Likelihood ratio approach; 2.2.3 Difference between an application of two-stage approach and likelihood ratio approach 327 $a2.3 Classification problem2.3.1 Chemometric approach; 2.3.2 Likelihood ratio approach; 2.4 Likelihood ratio and Bayes' theorem; References; 3 Continuous data; 3.1 Introduction; 3.2 Data transformations; 3.3 Descriptive statistics; 3.3.1 Measures of location; 3.3.2 Dispersion: Variance estimation; 3.3.3 Data distribution; 3.3.4 Correlation; 3.3.5 Continuous probability distributions; 3.4 Hypothesis testing; 3.4.1 Introduction; 3.4.2 Hypothesis test for a population mean for samples with known variance from a normal distribution 327 $a3.4.3 Hypothesis test for a population mean for small samples with unknown variance from a normal distribution3.4.4 Relation between tests and confidence intervals; 3.4.5 Hypothesis test based on small samples for a difference in the means of two independent populations with unknown variances from normal distributions; 3.4.6 Paired comparisons; 3.4.7 Hotelling's test; 3.4.8 Significance test for correlation coefficient; 3.5 Analysis of variance; 3.5.1 Principles of ANOVA; 3.5.2 Feature selection with application of ANOVA; 3.5.3 Testing of the equality of variances; 3.6 Cluster analysis 327 $a3.6.1 Similarity measurements3.6.2 Hierarchical cluster analysis; 3.7 Dimensionality reduction; 3.7.1 Principal component analysis; 3.7.2 Graphical models; References; 4 Likelihood ratio models for comparison problems; 4.1 Introduction; 4.2 Normal between-object distribution; 4.2.1 Multivariate data; 4.2.2 Univariate data; 4.3 Between-object distribution modelled by kernel density estimation; 4.3.1 Multivariate data; 4.3.2 Univariate data; 4.4 Examples; 4.4.1 Univariate research data - normal between-object distribution - R software 327 $a4.4.2 Univariate casework data - normal between-object distribution - Bayesian network4.4.3 Univariate research data - kernel density estimation - R software; 4.4.4 Univariate casework data - kernel density estimation - calcuLatoR software; 4.4.5 Multivariate research data - normal between-object distribution - R software; 4.4.6 Multivariate research data - kernel density estimation procedure - R software; 4.4.7 Multivariate casework data - kernel density estimation - R software; 4.5 R Software; 4.5.1 Routines for casework applications; 4.5.2 Routines for research applications; References 327 $a5 Likelihood ratio models for classification problems 330 $aA 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 t 606 $aChemistry, Forensic 606 $aForensic statistics 606 $aChemometrics 615 0$aChemistry, Forensic. 615 0$aForensic statistics. 615 0$aChemometrics. 676 $a614/.12 700 $aZadora$b Grzegorz$0883477 701 $aZadora$b Grzegorz$0883477 701 $aMartyna$b Agnieszka$01242024 701 $aRamos$b Daniel$01242025 701 $aAitken$b Colin$01242026 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910139027903321 996 $aStatistical analysis in forensic science$92880915 997 $aUNINA LEADER 01822oas 2200469 a 450 001 9910693832503321 005 20120416165232.0 035 $a(CKB)4330000001872807 035 9 $aocm56811939 035 $a(OCoLC)56811939 035 $a(EXLCZ)994330000001872807 100 $a20041025a19uu9999 sa 101 0 $aeng 135 $aurg|||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInstruction manual$hPart 11$iComputer edits for mortality data, effective ..$b[electronic resource] 210 $aHyattsville, Md. $cU.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control, National Center for Health Statistics 215 $a1 online resource 517 3 $aComputer edits for mortality data, effective ... 517 1 $aInstruction manual. 517 1 $aICD-10 computer edits for mortality data effective ... 517 1 $aVital statistics 517 1 $aVital statistics, data preparation 517 1 $aVital statistics computer edits for mortality data, effective ... 606 $aDeath$xProof and certification$zUnited States$xData processing$vHandbooks, manuals, etc 606 $aMortality$zUnited States$xData processing$vHandbooks, manuals, etc 606 $aDeath certificates$zUnited States$xData processing$vHandbooks, manuals, etc 608 $aHandbooks and manuals.$2lcgft 615 0$aDeath$xProof and certification$xData processing 615 0$aMortality$xData processing 615 0$aDeath certificates$xData processing 712 02$aNational Center for Health Statistics (U.S.) 801 0$bGPO 801 1$bGPO 801 2$bOCLCQ 801 2$bGPO 906 $aDOCUMENT 912 $a9910693832503321 996 $aInstruction manual$93103362 997 $aUNINA LEADER 02005nas 2200613 a 450 001 9910481989603321 005 20250919110627.0 011 $a1431-5866 035 $a(CKB)954926966960 035 $a(CONSER) 86656169 035 $a(DE-599)ZDB1463365-6 035 $a(DE-599)1463365-6 035 $a(EXLCZ)99954926966960 100 $a19860317b19861997 uy b 101 0 $aeng 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aZeitschrift für Physik$hD$iAtoms, molecules, and clusters 210 $aBerlin ;$aNew York $cSpringer-Verlag$d1986-c1997 215 $a1 online resource 300 $aRefereed/Peer-reviewed 311 08$aPrint version: Zeitschrift fu?r Physik. 0178-7683 (DLC) 86656169 (OCoLC)13304143 606 $aAtoms$vPeriodicals 606 $aMolecules$vPeriodicals 606 $aAtomic spectroscopy$vPeriodicals 606 $aCluster theory (Nuclear physics)$vPeriodicals 606 $aCollision spectroscopy$vPeriodicals 606 $a33.30 atomic and molecular physics: general 606 $aSpectroscopie atomique$vPe?riodiques 606 $aSpectroscopie de collision$vPe?riodiques 606 $aFísica nuclear$2thub 606 $aÀtoms$2thub 606 $aMolècules$2thub 608 $aRevistes electròniques.$2thub 615 0$aAtoms 615 0$aMolecules 615 0$aAtomic spectroscopy 615 0$aCluster theory (Nuclear physics) 615 0$aCollision spectroscopy 615 7$a33.30 atomic and molecular physics: general 615 6$aSpectroscopie atomique 615 6$aSpectroscopie de collision 615 7$aFísica nuclear 615 7$aÀtoms 615 7$aMolècules 676 $a539/.05 712 02$aDeutsche Physikalische Gesellschaft (1963- ) 712 02$aEuropean Physical Society. 906 $aJOURNAL 912 $a9910481989603321 920 $aexl_impl conversion 996 $aZeitschrift für Physik$9784803 997 $aUNINA