John Monahan

This title offers an engaging and comprehensive overview of how American courts use research and testimony from the social sciences in reaching their decisions. It is organized around Daubert v. Merrill Dow Pharmaceuticals, Inc., the United States Supreme Court's landmark decision on scientific evidence, and the series of recent cases beginning with Roper v. Simmons in which the Court explicitly relied on social science evidence to transform the process of criminal sentencing. The tenth edition offers a completely revised and up-to-date treatment of the increasingly critical role social science research plays in both federal and state judicial opinions.

Adjudicative competence remains an important topic of research and practice in psychology and law. In the five sections of Adjudicative Competence: The MacArthur Studies, the authors present not only a summary of the research of the MacArthur studies on competence but also an examination of the underlying theoretical work of Professor Richard Bonnie. It is the first publication to encapsulate the scope and significance of both the studies themselves and Bonnie's contributions. There is no other source available that addresses this range of topics. Given its breadth and scope, this book will be a "must have" for forensic mental health professionals, an important volume for lawyers, and a vital academic reference work.

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.

Discover the true genius behind history's greatest "madmen". From Dr. Frankenstein to Dr. Jekyll, the image of the mad scientist surrounded by glass vials, copper coils, and electrical apparatus remains a popular fixture. In films and fiction, he's comically misguided, tragically misunderstood, or pathologically evil. But the origins of this stereotype can be found in the sometimes-eccentric real life men and women who challenged our view of the world and broke new scientific frontiers. They Called Me Mad recounts the amazing true stories of such historical luminaries as Archimedes, the calculator of pi and creator of the world's first death ray; Isaac Newton, the world's first great scientist and the last great alchemist; Nikola Tesla, who built the precursors of robots, fluorescent lighting, and particle beam weapons before the turn of the twentieth century-and more.

Adjudicative competence remains an important topic of research and practice in psychology and law. In the five sections of Adjudicative Competence: The MacArthur Studies, the authors present not only a summary of the research of the MacArthur studies on competence but also an examination of the underlying theoretical work of Professor Richard Bonnie. It is the first publication to encapsulate the scope and significance of both the studies themselves and Bonnie's contributions. There is no other source available that addresses this range of topics. Given its breadth and scope, this book will be a "must have" for forensic mental health professionals, an important volume for lawyers, and a vital academic reference work.

Rethinking Risk Assessment tells the story of a pioneering investigation that challenges preconceptions about the frequency and nature of violence among persons with mental disorders, and suggests an innovative approach to predicting its occurrence.