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Probability, statistics and life cycle assessmentguidance for dealing with uncertainty and sensitivity /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Probability, statistics and life cycle assessmentby Reinout Heijungs.
Reminder of title:	guidance for dealing with uncertainty and sensitivity /
Author:	Heijungs, Reinout.
Published:	Cham :Springer International Publishing :2024.
Description:	xxvii, 1144 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Product life cycleStatistical methods.
Online resource:	https://doi.org/10.1007/978-3-031-49317-1
ISBN:	9783031493171$q(electronic bk.)

Probability, statistics and life cycle assessmentguidance for dealing with uncertainty and sensitivity /
Heijungs, Reinout.

Probability, statistics and life cycle assessmentguidance for dealing with uncertainty and sensitivity /[electronic resource] :by Reinout Heijungs. - Cham :Springer International Publishing :2024. - xxvii, 1144 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783031493171$q(electronic bk.)

Standard No.: 10.1007/978-3-031-49317-1doiSubjects--Topical Terms:

970427
Product life cycle
--Statistical methods.

LC Class. No.: HF5415.155

Dewey Class. No.: 658.5

Probability, statistics and life cycle assessmentguidance for dealing with uncertainty and sensitivity /
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505 0 $a 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.
520 $a 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.
650 0 $a Product life cycle $x Statistical methods. $3 970427
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650 1 4 $a Environmental Sciences. $3 212393
650 2 4 $a Probability Theory. $3 913371
650 2 4 $a Statistics. $3 182057
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950 $a Earth and Environmental Science (SpringerNature-11646)