Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation

Division for Automation and Robotics

Research output: Contribution to journal › Article › peer-review

Abstract

The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.

Original language	English
Pages (from-to)	1-7
Number of pages	7
Journal	Measurement Techniques
DOIs	https://doi.org/10.1007/s11018-016-0886-4
Publication status	Accepted/In press - 1 Apr 2016

Keywords

interlaboratory comparisons
largest consistent subset
preference aggregation
reference value

ASJC Scopus subject areas

Applied Mathematics
Instrumentation

Access to Document

10.1007/s11018-016-0886-4

Fingerprint Dive into the research topics of 'Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation'. Together they form a unique fingerprint.

Cite this

@article{3e94c7e8ccb842c8a39f44d4e6f29c2a,

title = "Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation",

abstract = "The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.",

keywords = "interlaboratory comparisons, largest consistent subset, preference aggregation, reference value",

author = "Muravyov, {S. V.} and Marinushkina, {I. A.}",

year = "2016",

month = apr,

day = "1",

doi = "10.1007/s11018-016-0886-4",

language = "English",

pages = "1--7",

journal = "Measurement Techniques",

issn = "0543-1972",

publisher = "Springer Science and Business Media Deutschland GmbH",

}

TY - JOUR

T1 - Processing Data from Interlaboratory Comparisons by the Method of Preference Aggregation

AU - Muravyov, S. V.

AU - Marinushkina, I. A.

PY - 2016/4/1

Y1 - 2016/4/1

N2 - The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.

AB - The operational capabilities and efficiency of the method of preference aggregation applied to generated sets of normal and uniformly distributed random data from interlaboratory comparisons are compared with traditional approaches.

KW - interlaboratory comparisons

KW - largest consistent subset

KW - preference aggregation

KW - reference value

UR - http://www.scopus.com/inward/record.url?scp=84962171208&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84962171208&partnerID=8YFLogxK

U2 - 10.1007/s11018-016-0886-4

DO - 10.1007/s11018-016-0886-4

M3 - Article

AN - SCOPUS:84962171208

SP - 1

EP - 7

JO - Measurement Techniques

JF - Measurement Techniques

SN - 0543-1972