Bringing coals to Newcastle

Ryan, LM; Wand, MP; Malecki, AA

Bringing coals to Newcastle

Ryan, LM

Wand, MP

Malecki, AA

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Publication Type:: Journal Article
Citation:: Significance, 2016, 13 (6), pp. 32 - 37
Issue Date:: 2016-12-01

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Field	Value	Language
dc.contributor.author	Ryan, LM https://orcid.org/0000-0001-5957-2490	en_US
dc.contributor.author	Wand, MP https://orcid.org/0000-0003-2555-896X	en_US
dc.contributor.author	Malecki, AA	en_US
dc.date.issued	2016-12-01	en_US
dc.identifier.citation	Significance, 2016, 13 (6), pp. 32 - 37	en_US
dc.identifier.issn	1740-9705	en_US
dc.identifier.uri	http://hdl.handle.net/10453/94088
dc.description.abstract	© 2016 The Royal Statistical Society Making effective public policy decisions is challenging at the best of times, but especially in the context of environmental regulation, which typically requires managing opposing interests and strong opinions from industry and private citizens. In this case study, Louise Ryan, Matt Wand and Alan Malecki show how statistical analysis can help resolve conflict and inform effective decision-making under uncertainty.	en_US
dc.relation.ispartof	Significance	en_US
dc.relation.isbasedon	10.1111/j.1740-9713.2016.00982.x	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Bringing coals to Newcastle	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	13	en_US
utslib.for	0104 Statistics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

© 2016 The Royal Statistical Society Making effective public policy decisions is challenging at the best of times, but especially in the context of environmental regulation, which typically requires managing opposing interests and strong opinions from industry and private citizens. In this case study, Louise Ryan, Matt Wand and Alan Malecki show how statistical analysis can help resolve conflict and inform effective decision-making under uncertainty.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/94088