
ISBN13: | 9783319807119 |
ISBN10: | 33198071111 |
Binding: | Paperback |
No. of pages: | 456 pages |
Size: | 235x155 mm |
Weight: | 8005 g |
Language: | English |
Illustrations: | 269 Illustrations, black & white; 43 Illustrations, color |
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Winning at Litigation through Decision Analysis
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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.
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.
?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)