02039nam a2200217   4500001000700000010001800007100004100025101000800066200013300074205001200207210005400219215002200273330139000295606001501685606002201700606002501722606001801747700001901765701001801784701001901802394114  a9780128024027  a20160927d2016       y0pory50      ba  aeng  aRelationship inference with Familias and Restatistical methods in forensic geneticsfThore Egeland, Daniel Kling, Petter Mostad  a1st ed.  aAmsterdam [etc.]cAcademic Press ; Elsevierd2016  aix, 243 p.d24 cm  aPreface. Chapter 1: Introduction. 1.1 Using this book. 1.2 Warm-up examples. 1.3 Statistics and the law. Chapter 2: Basics. 2.1 Forensic markers. 2.2 Probabilities of genotypes. 2.3 Likelihoods and LRs. 2.4 Mutation. 2.5 Theta correction. 2.6 Silent allele. 2.7 Dropout. 2.8 Exclusion probabilities. 2.9 Beyond standard markers and data. 2.10 Simulation. 2.11 Several, possibly complex pedigrees. 2.12 Case studies. 2.13 Exercises. Chapter 3: Searching for relationships. 3.1 Introduction. 3.2 Disaster victim identification. 3.3 Blind search. 3.4 Familial searching. 3.5 Exercises. Chapter 4: Dependent markers. 4.1 Linkage. 4.2 Linkage disequilibrium. 4.3 Haplotype frequency estimation. 4.4 Programs for linked markers. 4.5 Exercises. Chapter 5: Relationship inference with R. 5.1 Using R. 5.2 Exercises. Chapter 6: Models for pedigree inference. 6.1 Population-level models. 6.2 Pedigree-level models. 6.3 Observational-level models. 6.4 Computations. 6.5 Exercises. Chapter 7: Parameter estimation and uncertainty. 7.1 Allele frequencies. 7.2 The Theta-correction parameter. 7.3 The Lambda model for haplotype frequencies. 7.4 Mutations and mutation models. 7.5 Other parameters. 7.6 Handling “uncertainty” in LRs. 7.7 Exercise. Chapter 8: Making decisions. 8.1 Some basic decision theory. 8.2 LR as a random variable. 8.3 Exercises. Glossary for non-biologists. Bibliography.  aGENÉTICA  aCIÊNCIA FORENSE  aMÉTODO ANALÍTICO  aESTATÍSTICA  aEGELANDbThore  aKLINGbDaniel  aMOSTADbPetter