LEADER 02172oam 2200445 450 001 9910827463403321 005 20221209165320.0 010 $a1-119-24541-9 010 $a1-119-24525-7 010 $a1-119-24543-5 035 $a(CKB)4330000000009591 035 $a(MiAaPQ)EBC6412237 035 $a(OCoLC)1156422305 035 $a(EXLCZ)994330000000009591 100 $a20210519d2020 uy 0 101 0 $aeng 135 $aurcz#---auuuu 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aStatistics and the evaluation of evidence for forensic scientists /$fColin G G Aitken, Franco Taroni, Silvia Bozza 205 $aThird edition. 210 1$aHoboken, New Jersey :$cWiley,$d[2020] 210 4$dİ2020 215 $a1 online resource (1,251 pages) 311 1 $a1-119-24522-2 330 $a"With the increase in the availability of data, the role of statistical and probabilistic reasoning is becoming ever more high profile, and courts are increasingly aware of the importance of the proper assessment of evidence in which there is random variation. Statistical techniques allow the forensic scientist to evaluate and interpret evidence where there is an element of uncertainty. Since its first publication in 1995, this highly regarded book has been considered as the leading text in statistical evaluation of forensic evidence. Bringing together authors from the fields of both statistics and forensic science, all international experts in the evaluation and interpretation of evidence, the third edition will be fully revised and updated to reflect the latest research and developments in this field."--$cProvided by publisher. 606 $aForensic sciences$xStatistical methods 615 0$aForensic sciences$xStatistical methods. 676 $a363.25015195 700 $aAitken$b C. G. G.$0116894 702 $aTaroni$b Franco 702 $aBozza$b Silvia 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910827463403321 996 $aStatistics and the evaluation of evidence for forensic scientists$9416103 997 $aUNINA LEADER 04615nam 22006375 450 001 9910299581103321 005 20251230061212.0 010 $a3-319-70730-2 024 7 $a10.1007/978-3-319-70730-3 035 $a(CKB)4100000001039551 035 $a(DE-He213)978-3-319-70730-3 035 $a(MiAaPQ)EBC5122251 035 $a(PPN)22125272X 035 $a(EXLCZ)994100000001039551 100 $a20171102d2018 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Smart Vehicular Technology, Transportation, Communication and Applications $eProceedings of the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications, November 6-8, 2017, Kaohsiung, Taiwan /$fedited by Jeng-Shyang Pan, Tsu-Yang Wu, Yong Zhao, Lakhmi C. Jain 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (XV, 404 p. 194 illus.) 225 1 $aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v86 311 08$a3-319-70729-9 320 $aIncludes bibliographical references and index. 327 $aEasy i-Move: Structured Image Recognition Solution for Auto Guided Vehicles -- Evaluating Multi-dimensional Abilities of Bus Drivers -- Research on Detection Algorithm of Roadway Intersection Rule Detection Based on Big Data -- Predicting the Travel Time in Using Recurrent Neural Networks: A Case Study of Fuzhou -- Driving Behavior Motivation Model Research Based on Vehicle Trajectory Data -- A Ranging Algorithm for Mobile Vehicles Based on Kalman Filter -- The Evaluation of the Video Codec Performances on the Driving Recorder with Different Vehicle Speeds -- Railway Train Working Diagram Plan System -- Railway Passenger Service Mode on ?Internet +? -- Design of High Speed Train Operation Plan Simulation System -- Service Quality Evaluation of Railway Freight Transportation Network Based on Bayes Theory -- Train Headway Calculation and Simulation System for High-speed Railway -- Train Scheduling for Heavy Haul Railway -- Research on Train Delay Diagnosis in Train Diagram Based on Big Data Technology -- On Linear Precoding of Unitary Space-Time Modulation for Spatial-Temporal Correlated Flat Fading Channel -- The Integration of DFX Principles with TRIZ for Product Design - A Case Study of Electric Scooter -- Adaptive Nonsmooth Attitude Tracking Control of Quadrotor UAV with Dynamic Uncertainties -- A Constructive Problem-based Course Design for Internet of Things. 330 $aThis book presents papers from the First International Conference on Smart Vehicular Technology, Transportation, Communication and Applications (VTCA 2017). Held from 6 to 8 November 2017 in Kaohsiung, Taiwan, the conference was co-sponsored by Springer, Fujian University of Technology in China, Fujian Provincial Key Laboratory of Digital Equipment, Fujian Provincial Key Lab of Big Data Mining and Applications, and National Kaohsiung University of Applied Sciences in Taiwan. The book is a valuable resource for researchers and professionals engaged in all areas of smart vehicular technology, vehicular transportation, vehicular communication, and applications. 410 0$aSmart Innovation, Systems and Technologies,$x2190-3026 ;$v86 606 $aTransportation engineering 606 $aTraffic engineering 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aTransportation Technology and Traffic Engineering 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aTransportation engineering. 615 0$aTraffic engineering. 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aTransportation Technology and Traffic Engineering. 615 24$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a388.312 702 $aPan$b Jeng-Shyang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWu$b Tsu-Yang$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aZhao$b Yong$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aJain$b Lakhmi C$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910299581103321 996 $aAdvances in Smart Vehicular Technology, Transportation, Communication and Applications$92495612 997 $aUNINA