Small data and conflicting information

U. Sahlin

doi:10.1201/9781315374987-48

Small data and conflicting information

U. Sahlin

Centre for Environmental and Climate Science (CEC)

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Things are seldom ideal. The quality in information underlying the assessment of risk and support decisions is not an exception. Quantitative measures of uncertainty are extremely useful, but a problem with quantitative measures of uncertainty is that qualitative aspects of uncertainty, e.g. related to weaknesses in background knowledge or deep uncertainty (Cox 2012), are difficult to address.

Original language	English
Title of host publication	Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016
Publisher	CRC Press/Balkema
Pages	51
ISBN (Print)	9781138029972
DOIs	https://doi.org/10.1201/9781315374987-48
Publication status	Published - 2017
Event	26th European Safety and Reliability Conference, ESREL 2016 - Glasgow, United Kingdom Duration: 2016 Sept 25 → 2016 Sept 29

Conference

Conference	26th European Safety and Reliability Conference, ESREL 2016
Country/Territory	United Kingdom
City	Glasgow
Period	2016/09/25 → 2016/09/29

Subject classification (UKÄ)

Other Social Sciences not elsewhere specified

Access to Document

10.1201/9781315374987-48

Cite this

@inproceedings{805f8a8931db4a82bdc10ff0f85f96a6,

title = "Small data and conflicting information",

abstract = "Things are seldom ideal. The quality in information underlying the assessment of risk and support decisions is not an exception. Quantitative measures of uncertainty are extremely useful, but a problem with quantitative measures of uncertainty is that qualitative aspects of uncertainty, e.g. related to weaknesses in background knowledge or deep uncertainty (Cox 2012), are difficult to address.",

author = "U. Sahlin",

year = "2017",

doi = "10.1201/9781315374987-48",

language = "English",

isbn = "9781138029972",

pages = "51",

booktitle = "Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016",

publisher = "CRC Press/Balkema",

note = "26th European Safety and Reliability Conference, ESREL 2016 ; Conference date: 25-09-2016 Through 29-09-2016",

}

TY - GEN

T1 - Small data and conflicting information

AU - Sahlin, U.

PY - 2017

Y1 - 2017

N2 - Things are seldom ideal. The quality in information underlying the assessment of risk and support decisions is not an exception. Quantitative measures of uncertainty are extremely useful, but a problem with quantitative measures of uncertainty is that qualitative aspects of uncertainty, e.g. related to weaknesses in background knowledge or deep uncertainty (Cox 2012), are difficult to address.

AB - Things are seldom ideal. The quality in information underlying the assessment of risk and support decisions is not an exception. Quantitative measures of uncertainty are extremely useful, but a problem with quantitative measures of uncertainty is that qualitative aspects of uncertainty, e.g. related to weaknesses in background knowledge or deep uncertainty (Cox 2012), are difficult to address.

UR - http://www.scopus.com/inward/record.url?scp=85016178316&partnerID=8YFLogxK

U2 - 10.1201/9781315374987-48

DO - 10.1201/9781315374987-48

M3 - Paper in conference proceeding

AN - SCOPUS:85016178316

SN - 9781138029972

SP - 51

BT - Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016

PB - CRC Press/Balkema

T2 - 26th European Safety and Reliability Conference, ESREL 2016

Y2 - 25 September 2016 through 29 September 2016

ER -

Small data and conflicting information

Abstract

Conference

Subject classification (UKÄ)

Access to Document

Other files and links

Fingerprint

UnEviL: Uncertainty and Evidence Lab

Cite this

Small data and conflicting information

Abstract

Conference

Subject classification (UKÄ)

Access to Document

Other files and links

Fingerprint

Projects

UnEviL: Uncertainty and Evidence Lab

Cite this