Probability, Statistics and Life Cycle Assessment: Guidance for Dealing with Uncertainty and Sensitivity
Author:   Reinout Heijungs
Publisher:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031493164


Pages:   1144
Publication Date:   21 May 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Probability, Statistics and Life Cycle Assessment: Guidance for Dealing with Uncertainty and Sensitivity


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Overview

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.

Full Product Details

Author:   Reinout Heijungs
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   2024 ed.
ISBN:  

9783031493164


ISBN 10:   3031493168
Pages:   1144
Publication Date:   21 May 2024
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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