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This book is the first in-depth guide to applying the philosophy, theory, and methods of decision analysis to creating and executing winning legal strategies. With explanations that progress from introductory to advanced and practice problems at the end of each chapter, this is a book the reader will want to use and refer to for years to come. Practicing decision analysts, operations research and management science students, attorneys and law students will find this book an invaluable addition to their knowledge and skills.
John Celona has over three decades of experience in teaching and applying decision analysis. John lectures in the School of Engineering at Stanford University and is on faculty at The Stanford Center for Professional Development, the American Course on Drug Development and Regulatory Sciences, and the Academy of the American Society for Healthcare Risk Management.
Inhaltsverzeichnis
Introduction.- The Nature of the Beast.- Why Decision Analysis is the Right Solution.- Structure the Problem.- Elicit Probabilities.- Integrate All Information, Judgement, and Consequences.- Analyze the Results.- Difficult Questions to Structure.- Special Probability Approaches.- Multiple Parties and Claims- Pre-Trial and Trial Strategy Planning.- Review and Communication.
Über den Autor / die Autorin
John Celona is the Founder and President of Decision Analysis Associates. He has over three decades of experience as a management consultant in risk analysis and management and strategy development for senior executives in Fortune 500 companies.
Zusammenfassung
Zusatztext
“It is a nice example of plain application of simple mathematics to decision analysis. The book is divided into three parts. … the reviewed book is a very good handbook for MBA students.” (Krzysztof Piasecki, zbMATH 1360.90002, 2017)
Bericht
"It is a nice example of plain application of simple mathematics to decision analysis. The book is divided into three parts. ... the reviewed book is a very good handbook for MBA students." (Krzysztof Piasecki, zbMATH 1360.90002, 2017)
