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Since the first edition of this book published, Bayesian networks have become even more important for applications in a vast array of fields. This second edition includes new material on influence diagrams, learning from data, value of information, cybersecurity, debunking bad statistics, and much more. Focusing on practical real-world problem-solving and model building, as opposed to algorithms and theory, it explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide more powerful insights and better decision making than is possible from purely data-driven solutions. Features Provides all tools necessary to build and run realistic Bayesi...
Although many Bayesian Network (BN) applications are now in everyday use, BNs have not yet achieved mainstream penetration. Focusing on practical real-world problem solving and model building, as opposed to algorithms and theory, Risk Assessment and Decision Analysis with Bayesian Networks explains how to incorporate knowledge with data to develop and use (Bayesian) causal models of risk that provide powerful insights and better decision making. Provides all tools necessary to build and run realistic Bayesian network models Supplies extensive example models based on real risk assessment problems in a wide range of application domains provided; for example, finance, safety, systems reliabilit...
PART I: FUNDAMENTALS OF MEASUREMENT AND EXPERIMENTATION 1. Measurement: What Is It and Why Do It? 2. The Basics of Measurement 3. A Goal-Based Framework for Software Measurement 4. Empirical Investigation 5. Software Metrics Data Collection 6. Analyzing Software-Measurement Data PART II: SOFTWARE-ENGINEERING MEASUREMENT 7. Measuring Internal Product Attributes: Size 8. Measuring Internal Product Attributes: Structure 9. Measuring Internal Product Attributes 10. Software Reliability: Measurement and Prediction 11. Resource Measurement: Productivity, Teams, and Tools 12. Making Process Predictions PART III: MEASUREMENT AND MANAGEMENT 13. Planning a Measurement Program 14. Measurement in Practice 15. Empirical Research in Software Engineering APPENDIXES: A. Solutions to Selected Exercises / B. Metric Tools / C. Acronyms and Glossary / ANNOTATED BIBLIOGRAPHY / INDEX
This book presents a comprehensive international overview of software quality assurance and metrics practice with contributions from around the world. The combination of the international perspective and practical case studies presented here will make this book invaluable to all practitioners and students in software engineering.
In this book, Richardson crosses disciplinary boundaries to examine mental hygiene issues of contemporary concern in both the United States and Canada. The work juxtaposes a social history of the child in the twentieth century to shifts in private and public power as influenced by the mental hygiene movements in both countries. The author shows how the historical record sheds light on current policy concerned with mentally, emotionally, and educationally handicapped children. As a sociology of mental illness, the book examines the relationship between mental hygiene as a form of knowledge and the social institutions that fostered the use of psychiatric perspectives concerning child and family life. Significant topics covered in this regard include the history of early childhood and parent education, the origins of child psychiatry in treating juvenile delinquency, and the evolution of contemporary concepts of normal development.
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A comprehensive treatment of systems and software testing using state of the art methods and tools This book provides valuable insights into state of the art software testing methods and explains, with examples, the statistical and analytic methods used in this field. Numerous examples are used to provide understanding in applying these methods to real-world problems. Leading authorities in applied statistics, computer science, and software engineering present state-of-the-art methods addressing challenges faced by practitioners and researchers involved in system and software testing. Methods include: machine learning, Bayesian methods, graphical models, experimental design, generalized regr...
This is a history of the California prison movement from 1950 to 1980, focusing on the San Francisco Bay Area's San Quentin State Prison and highlighting the role that prison reading and writing played in the creation of radical inmate ideology in those years. The book begins with the Caryl Chessman years (1948-60) and closes with the trial of the San Quentin Six (1975-76) and the passage of California's Determinate Sentencing Law (1977). This was an extraordinary era in the California prisons, one that saw the emergence of a highly developed radical convict resistance movement inside prison walls. This inmate groundswell was fueled at times by remarkable individual prisoners, at other times...
A pioneer of artificial intelligence shows how the study of causality revolutionized science and the world 'Correlation does not imply causation.' This mantra was invoked by scientists for decades in order to avoid taking positions as to whether one thing caused another, such as smoking and cancer and carbon dioxide and global warming. But today, that taboo is dead. The causal revolution, sparked by world-renowned computer scientist Judea Pearl and his colleagues, has cut through a century of confusion and placed cause and effect on a firm scientific basis. Now, Pearl and science journalist Dana Mackenzie explain causal thinking to general readers for the first time, showing how it allows us to explore the world that is and the worlds that could have been. It is the essence of human and artificial intelligence. And just as Pearl's discoveries have enabled machines to think better, The Book of Why explains how we can think better.
This is a biography of Charles Andrews Fenton (1919-1961), a teacher, scholar, and writer, who at the peak of his career, took his own life.