Remodeling Forensic Skeletal Age: Modern Applications and New Research Directions presents a comprehensive understanding of the analytical frameworks and conceptual approaches surrounding forensic age estimation and the current state of the field. The book also includes a series of recommendations of best practice through chapter-examples that offer theory and guidance for data acquisition, technique and/or model development, and the assessment of impact of the adopted approaches. Written by leading, international experts, the book's contributors provide an introduction, conceptual understanding and taxonomy of statistical frameworks and computational approaches, including the Bayesian paradigm and machine learning techniques for age estimation.

• Discusses core concepts in age estimation, along with key terminologies
• Presents tactics on how readers can generate sound models that can be translated into forensic reports and expert testimony
• Provides a step-wise approach and best practice recommendations for data acquisition, considerations in sampling, exploratory data analysis, visualization, and sources of error for appropriate and reproducible research design
• Includes examples, theory and guidance on how to develop models for age estimation and reviews the impact of population-specific and universal approaches