دانلود کتاب فاکتورهای بیز برای تجزیه و تحلیل تصمیم فارنزیک با R

The introduction of scientific evidence in legal proceedings raises a host of intricate questions and themes, ranging from the architecture of legal systems across contemporary jurisdictions and psychological aspects of judgment and decision-making, to principles and methods of logical reasoning and decision-making under uncertainty. Over decades of theoretical and practice-oriented research, scholars in fields such as law, statistics, history, philosophy of science, psychology, and forensic science have come to the understanding that the sound use of scientific findings in evidence and proof processes critically depends on the ability of forensic scientists to use formal methods of reasoning, so as to ensure a coherent approach to dealing with and communicating about uncertainty. The focal point of these developments is the recognition of probability as the reference method for measuring uncertainty. It is thus hardly surprising that, in recent years, the intersection between law and forensic science has seen an increase in the number of reports, guidelines, and recommendations issued by eminent societies, review panels, and expert groups that insist on the importance of aligning the interpretation of scientific evidence by forensic scientists to a probabilistic measure of the value of evidence.1 This measure is the likelihood ratio and has been widely described in peer-reviewed articles and textbooks.