Titlebook: Probability, Statistics and Life Cycle Assessment; Guidance for Dealing Reinout Heijungs Book 2024 The Editor(s) (if applicable) and The Au

移植

Probability 2: AlternativesProbability theory is a core discipline in many fields of science and engineering, including LCA. Yet, its foundations and interpretation are the subject of continuous controversy. In this chapter, we will briefly address the Bayesian approach, fuzzy numbers, and some other alternatives.

舊石器時代

Statistics 1: DescriptiveThis chapter presents the basic elements of descriptive statistics, as far as needed for understanding uncertainty and sensitivity analysis of LCA. We discuss topics such as the mean, the standard deviation, geometric statistics, correlation, and the visualization in terms of, e.g., boxplots and histograms.

tenuous

Statistics 2: InferentialThis chapter presents the basic elements of descriptive statistics, as far as needed for understanding uncertainty and sensitivity analysis of LCA. We discuss topics such as the estimation of parameters, confidence intervals and hypothesis tests.

小說

LCAThis chapter presents the foundations of LCA as far as relevant for understanding and developing uncertainty and sensitivity analysis. The emphasis will be on the mathematical theory of LCA, the places where data and choices enter the model. The chapter also discusses several data quality indicators and data formats.

TOXIC

我的巨大

Uncertainty, Risk and?DecisionsThis chapter discusses the notions of uncertainty and risk in relation to decision-making, with an emphasis on their implications for life cycle assessment. In particular, the chapter presents approaches for dealing with uncertain LCA results in decision situations.

Recessive

SensitivityThis chapter presents the basic elements of sensitivity analysis (SA), with an emphasis on their use in life cycle assessment. We discuss topics such as local and global SA, one-at-a-time and all-at-a-time SA, uncertainty apportioning, and the use of scenarios for addressing sensitivity.

Manifest

直覺沒有

紋章

Statistical Analysis of Non-stochastic LCAThis chapter explores the use of statistical techniques for addressing non-stochastic properties of life cycle assessment. It includes the use of regression analysis, machine learning and meta-analysis.