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Probability, Statistics and Life Cycle Assessment

Autor Reinout Heijungs
en Limba Engleză Hardback – 21 mai 2024
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.

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Specificații

ISBN-13: 9783031493164
ISBN-10: 3031493168
Pagini: 1172
Ilustrații: XXVII, 1144 p. 156 illus., 32 illus. in color.
Dimensiuni: 160 x 241 x 51 mm
Greutate: 2.11 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland

Cuprins

Introduction.- Probability 1: Basics.- Probability 2: Alternatives.- Statistics 1: Descriptive.- Statistics 2: Inferential.- LCA.- Error and Quality.- Uncertainty and Decisions.- Sensitivity.- Statistical Concepts, Terminology and Notation.-  The Lognormal Distribution in LCA.- The Quantitative Pedigree Approach.- Including Uncertainty and Sensitivity in LCA.- Input Uncertainties.-  Uncertain Results.- Special Types of LCA.

Textul de pe ultima copertă

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.


Caracteristici

Presents an important topic on which many experts feel lost Is no comprehensive and coherent text available, only isolated and scattered articles Provides increasing demand by industry and scientists to better include uncertainty and sensitivity in LCA studies