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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.
Preface
References
Introduction
A Primer
Probability 1: Basics
Probability 2: Alternatives
Statistics 1: Descriptive
Statistics 2: Inferential
LCA
Error and Quality
Uncertainty, Risk and Decisions
Sensitivity
A Critique
Statistical Concepts, Terminology and Notation
The Lognormal Distribution in LCA
The Quantitative Pedigree Approach
Statistical Analysis of Non-stochastic LCA
A Guidance
Including Uncertainty and Sensitivity in LCA
Guidance for Standard LCA
Guidance for Special Types of LCA
Symbols
Matrix Topics
Special Functions
Subject Index