Decomposition and the Control of Errors in Decision Analytic Models
Language: English
Published by Forgotten Books, 2018
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
US$ 17.10
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book discusses how to overcome errors in judgment that arise from the challenges of making decisions and choices. It explains how human judgment and decision-making often involves breaking down large decisions into smaller, easier-to-solve components, ultimately aiming to improve consistency and reduce errors. The author highlights the idea that using a consistent and structured approach during this process can help people to make better decisions and achieve greater success. This book offers a unique approach to problem-solving and decision-making by utilizing a decomposition technique that can improve consistency and minimize errors. It provides invaluable insights into the complexities of human judgment and offers practical strategies that can be applied to various decision-making situations, making it a valuable resource for anyone seeking to enhance their decision-making skills. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781332257225_0
- Title
- Decomposition and the Control of Errors in Decision Analytic Models
- Author
- Don N. Kleinmuntz
- Publisher
- Forgotten Books
- Publication year
- 2018
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1332257224
- ISBN 13
- 9781332257225
- Seller catalogs
- Marketing
In Decomposition and the Control of Errors in Decision Analytic Models, this book explains how breaking big decisions into smaller parts can improve reliability. It argues that linear decompositions offer a practical way to reduce random errors and make complex modeling easier to understand and use.
The work frames decision analysis as an engineering approach that blends normative theory with descriptive findings. It shows how decomposition helps decision makers focus on individual components, while noting the limits and tradeoffs of different methods. The discussion covers when decomposition works best, how to manage potential biases, and what to consider when choosing detail levels in a model.
- How linear decompositions can reduce random error and improve consistency in judgments
- Ways to reduce component errors, including model-based estimation and nesting decomposition
- Impacts of weighting schemes and how to handle dependent errors
- Guidance on selecting the right level of detail for a decision model
Ideal for readers of decision analysis, risk assessment, and research in decision making, this edition offers practical insights for researchers and practitioners alike.
"Synopsis" may belong to another edition of this title.
Forgotten Books
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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