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The reconciliation of multiple conflicting estimates: Entropy-based and axiomatic approaches

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TypeOfResource
Text
TitleInfo
Title
The reconciliation of multiple conflicting estimates: Entropy-based and axiomatic approaches
Name (type = personal)
NamePart (type = family)
Rodrigues
NamePart (type = given)
João F.D.
Affiliation
Leiden University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = personal); (authority = orcid); (authorityURI = http://id.loc.gov/vocabulary/identifiers/orcid.html); (valueURI = http://orcid.org/0000-0002-2602-2465)
NamePart (type = family)
Lahr
NamePart (type = given)
Michael L.
Affiliation
Center for Urban Policy Research (CUPR), Rutgers University
Role
RoleTerm (type = text); (authority = marcrt)
author
Name (type = corporate); (authority = RutgersOrg-Department)
NamePart
Center for Urban Policy Research (CUPR)
Name (type = corporate); (authority = RutgersOrg-School)
NamePart
Edward J. Bloustein School of Planning and Public Policy
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Version of Record (VoR)
Note (type = peerReview)
Peer reviewed
OriginInfo
DateIssued (encoding = w3cdtf); (keyDate = yes)
2018
Abstract (type = Abstract)
When working with economic accounts it may occur that multiple estimates of a single datum exist, with different degrees of uncertainty or data quality. This paper addresses the problem of defining a method that can reconcile conflicting estimates, given best guess and uncertainty values. We proceeded from first principles, using two different routes. First, under an entropy-based approach, the data reconciliation problem is addressed as a particular case of a wider data balancing problem, and an alternative setting is found in which the multiple estimates are replaced by a single one. Afterwards, under an axiomatic approach, a set of properties is defined, which characterizes the ideal data reconciliation method. Under both approaches, the conclusion is that the formula for the reconciliation of best guesses is a weighted arithmetic average, with the inverse of uncertainties as weights, and that the formula for the reconciliation of uncertainties is a harmonic average.
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
19 pages
Subject (authority = local)
Topic
Uncertainty modelling
Subject (authority = local)
Topic
Economic accounts
Subject (authority = local)
Topic
Conflicting estimates
Subject (authority = local)
Topic
Entropy-based approach
Subject (authority = local)
Topic
Axiomatic approach
Extension
DescriptiveEvent
Type
Citation
DateTime (encoding = w3cdtf)
2018
AssociatedObject
Name
Entropy
Type
Journal
Relationship
Has part
Identifier (type = volume and issue)
20
Reference (type = url)
https://doi.org/10.3390/e20110815
Name (type = corporate); (authority = local)
Role
RoleTerm (type = text)
NamePart
Rijksuniversiteit te Leiden
RelatedItem (type = host)
TitleInfo
Title
Lahr Michael L.
Identifier (type = local)
rucore30152600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T37P92XH
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Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.5
ApplicationName
pdfTeX-1.40.18
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-10-18T10:09:43
DateCreated (point = end); (encoding = w3cdtf); (qualifier = exact)
2018-10-18T10:09:43
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