Mass Identifications (PDF)
Statistical Methods in Forensic Genetics
(Sprache: Englisch)
Mass Identifications: Statistical Methods in Forensic Genetics summarizes the state-of-the-art in the field, including methods and recent development in genetics (sequencing). The book's authors focus on practical applications and implementation, helping...
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Mass Identifications: Statistical Methods in Forensic Genetics summarizes the state-of-the-art in the field, including methods and recent development in genetics (sequencing). The book's authors focus on practical applications and implementation, helping readers determine how to approach the problem to identify individuals using DNA and statistically summarize evidence. Written by leading experts in the field for forensic scientists, geneticists, forensic anthropologists, and pathologists working with identifications, the book is ideal for scientists and practitioners in many areas.
- Focuses on methods, challenges and solutions in DVI cases
- Covers the use of DNA databases searches and the statistical evaluation of genetic comparisons
- Includes exercises at the end of the book
Autoren-Porträt von Daniel Kling, Thore Egeland, Andreas Tillmar, Lourdes Prieto
Daniel Kling holds a PhD in biostatistics and is the author of several publications in forensic genetics including the book"Relationship inference using Familias and RdStatistical methods in Forensic Genetics". His current research includes topics such as linked markers in relationship inference, software developments, and population genetics. He is the developer of the software
Familias, FamLink, and FamLinkX, all of which are widely used in forensics.
Bibliographische Angaben
- Autoren: Daniel Kling , Thore Egeland , Andreas Tillmar , Lourdes Prieto
- 2021, 202 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128184248
- ISBN-13: 9780128184240
- Erscheinungsdatum: 19.04.2021
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Grösse: 19 MB
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Englisch
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