Libro

Descripción

Bridging Statistical Theory and Real-World Forensic Application is a comprehensive guide to the statistical principles and analytical techniques that underpin modern forensic anthropological research and practice. Designed for students, researchers, forensic anthropologists, forensic pathologists, medico-legal professionals, and biological anthropologists, this handbook bridges the gap between statistical theory and real-world forensic applications. Beginning with the fundamentals of data collection, research design, descriptive statistics, and probability, the book progresses through classical and advanced statistical methods, including hypothesis testing, correlation, regression, multivariate analysis, Bayesian statistics, geometric morphometrics, resampling methods, machine learning, and artificial intelligence. Each chapter emphasizes practical interpretation, methodological accuracy, and the appropriate application of statistical tools in forensic investigations. The handbook demonstrates how quantitative methods contribute to biological profile estimation, personal identification, trauma analysis, ancestry assessment, age estimation, stature estimation, sex estimation, and the evaluation of skeletal evidence. It also addresses emerging topics such as radiomics, three-dimensional imaging, explainable artificial intelligence, and digital forensic anthropology, providing readers with an up-to-date overview of current developments in the field. With clear explanations, practical examples, illustrations, and discipline-specific applications, Bridging Statistical Theory and Real-World Forensic Application serves as both a learning resource and a professional reference, enabling readers to confidently apply statistical reasoning to forensic anthropological research and casework.