Probability, Statistics and Life Cycle Assessment: Guidance for Dealing with Uncertainty and Sensitivity
Language: English
Published by Springer, 2024
- Hardcover
- Used

Seller: Books From California, Simi Valley, CA, U.S.A.Books From California
AbeBooks seller since August 14, 2001
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- Title
- Probability, Statistics and Life Cycle Assessment: Guidance for Dealing with Uncertainty and Sensitivity
- Author
- Heijungs, Reinout
- Publisher
- Springer
- Publication year
- 2024
- Condition
- Very Good
- Binding
- hardcover
- Language
- English
- ISBN 10
- 3031493168
- ISBN 13
- 9783031493164
This textbook discusses the use of uncertainty analysis and sensitivity analysis in environmental life cycle assessment (LCA). This is a topic which has received a lot of attention by journals, including the leading (Springer) International Journal of Life Cycle Assessment. Despite its importance, no coherent textbook exists that summarizes the progress that has been made in the last 20 years. This book attempts to fill that gap. Its audience is practitioners (professional and academic) of LCA, teachers, and Ph.D. students. It gives a very broad overview of the field: probability theory, descriptive statistics, inferential statistics, error analysis, sensitivity analysis, decision theory, etc., all in relation to LCA. Much effort has been taken to give a balanced overview, with a uniform terminology and mathematical notation.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This textbook discusses the use of uncertainty analysis and sensitivity analysis in environmental life cycle assessment (LCA). This is a topic which has received a lot of attention by journals, including the leading (Springer) International Journal of Life Cycle Assessment. Despite its importance, no coherent textbook exists that summarizes the progress that has been made in the last 20 years. This book attempts to fill that gap. Its audience is practitioners (professional and academic) of LCA, teachers, and Ph.D. students. It gives a very broad overview of the field: probability theory, descriptive statistics, inferential statistics, error analysis, sensitivity analysis, decision theory, etc., all in relation to LCA. Much effort has been taken to give a balanced overview, with a uniform terminology and mathematical notation.
"About the title" may belong to another edition of this title.
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