
Statistics and Probability in Forensic Anthropology
- 1st Edition - July 27, 2020
- Imprint: Academic Press
- Editors: Zuzana Obertová, Alistair Stewart, Cristina Cattaneo
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 5 7 6 4 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 5 7 6 5 - 7
Statistics and Probability in Forensic Anthropology provides a practical guide for forensic scientists, primarily anthropologists and pathologists, on how to design studies,… Read more

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Request a sales quoteStatistics and Probability in Forensic Anthropology provides a practical guide for forensic scientists, primarily anthropologists and pathologists, on how to design studies, how to choose and apply statistical approaches, and how to interpret statistical outcomes in the forensic practice. As with other forensic, medical and biological disciplines, statistics have become increasingly important in forensic anthropology and legal medicine, but there is not a single book, which specifically addresses the needs of forensic anthropologists in relation to the research undertaken in the field and the interpretation of research outcomes and case findings within the setting of legal proceedings.
The book includes the application of both frequentist and Bayesian statistics in relation to topics relevant for the research and the interpretation of findings in forensic anthropology, as well as general chapters on study design and statistical approaches addressing measurement errors and reliability. Scientific terminology understandable to students and advanced practitioners of forensic anthropology, pathology and related disciplines is used throughout. Additionally, Statistics and Probability in Forensic Anthropology facilitates sufficient understanding of the statistical procedures and data interpretation based on statistical outcomes and models, which helps the reader confidently present their work within the forensic context, either in the form of case reports for legal purposes or as research publications for the scientific community.
- Contains the application of both frequentist and Bayesian statistics in relation to topics relevant for forensic anthropology research and the interpretation of findings
- Provides examples of study designs and their statistical solutions, partly following the layout of scientific manuscripts on common topics in the field
- Includes scientific terminology understandable to students and advanced practitioners of forensic anthropology, legal medicine and related disciplines
Introduction
1. Study Design, Data Collection and Initial Assessment of Data
1.1 Forensic anthropology and statistical questions
1.2 Study design and sampling
1.3 Sources of anthropological data
1.4 Initial assessment: Measurement errors and inter-rater reliability
2. General Considerations About Method Selection
2.1 General considerations about data and selection of statistical approaches
2.2 Data distribution and parametric/non-parametric tests
2.3 Data mining and decision trees
3. Frequentists and Bayesian Approach to Data Analysis and Interpretation
3.1 Frequentist approach to data analysis and interpretation
3.2. Use of the Bayes’ theorem in data analysis and interpretation
4. Variables of the Biological Profile: Population Studies and Application to Single Cases
4.1. Sex estimation using regression analysis (continuous and categorical predictors)
4.2. Sex assessment using continuous variables: problems and principles of sex classification in the zone of uncertainty
4.3 Age estimation of living persons: a coherent approach to inference and decision
4.4. Extreme Learning Machine Neural Networks for Adult Skeletal Age-at-Death Estimation
4.5 Statistical approaches to ancestry estimation: new and established methods for the quantification of cranial variation for forensic casework
4.6. Stature estimation
5. Personal Identification
5.1 Anthropological software: Statistical background Other software applications
5.2 Anthropological software: Statistical background Fordisc
5.3. Shape matching, geometric morphometrics and superimposition
6. Evaluation of Evidence and Reporting
6.1 Personal identification: Bayesian inference
6.2 Visual identification of persons - a forensic identity check with the help of people images – facial image comparison and methodological explanations for morphological analysis
6.3. Communicating evidence, with focus on the use of Bayes' theorem
7. Statistical Programs
7.1. SPPS
7.2. R
7.3. STATA
7.4. SAS
Glossary
- Edition: 1
- Published: July 27, 2020
- Imprint: Academic Press
- No. of pages: 418
- Language: English
- Paperback ISBN: 9780128157640
- eBook ISBN: 9780128157657
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Zuzana Obertová
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