Introduction to Bayesian Inference and Decision, 2nd Edition (ISBN 0-9647938-4-9) The basic concepts of Bayesian inference and decision have not really changed since the first edition of this book was published in 1972. Even so, Bayesian inference and decision has been a very fertile and rapidly growing field, both in terms of theoretical/methodological research and in terms of real-world applications. This book gives a solid foundation in the basic concepts, enables readers to understand the results of analyses in Bayesian inference and decision, provides tools to allow readers to model real-world problems and carry out basic analyses, and prepares readers for further explorations in Bayesian inference and decision. In the second edition, material has been added on some topics, examples and exercises have been updated, and perspectives have been added to each chapter and the end of the book to indicate how the field has changed and to give some new references. Order your copy today by contacting Probabilistic Publishing via email.

About the Author

Robert L. Winkler is James B. Duke Professor in the Fuqua School of Business, Duke University. He also holds appointments in the Institute of Statistics and Decision Sciences and in the Center for Clinical Health Policy Research at Duke. Professor Winkler's teaching interests include statistics and decision analysis. His primary research areas include Bayesian statistics, decision analysis, risk analysis, and forecasting. He was awarded the Frank P. Ramsey Medal for significant contributions to decision analysis and he has also been a recipient of the NCNB Faculty Award in the Fuqua School of Business and the Distinguished Teaching Award from Duke's first Global Executive MBA Class.

Introduction to Decision Analysis, 2nd Edition (almost Sold Out) (ISBN: 0964793830) is a practical, step-by-step guide to making better decisions. The book is designed for the practicing manager, technical professional, and decision analyst. Mr. Skinner provides proven techniques based on solid experience to help face complex, challenging, uncertain, and ambiguous choices. Decision analysis provides a process whereby all parties affected by the decision can be involved and participate in building a win-win solution. New to the second edition of Mr. Skinner's classic text are: new thinking about uncertainty and ambiguity, Monte Carlo simulation, guides to implementing large projects, "How 2" guides, and full interactive integration with Mr. Skinner's web site. Click Here to download a flyer about Introduction to Decision Analysis, 2nd Edition. Order your copy today!

From the Author
My goal in writing this book is to provide a practical resource for anyone who wants to make better decisions. I use real world business and personal cases to illustrate the principles of decision analysis and stories to describe what works and what does not work. The First Edition has been used successfully in both industrial and academic settings, and I'm very pleased to be able to offer much more information with this edition.

From the Back Cover
As decision makers, we often face complex, challenging, uncertain, and often ambiguous choices. When making these choices, we can follow our intuition or "gut" instincts, or we can pursue a more analytical approach. Decision analysis provides a process whereby all parties affected by the decision can be involved and participate in building a win-win solution.