uu.seUppsala universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Tests of perfect judgment ranking using pseudo-samples
Univ Wisconsin, Dept Nat & Appl Sci, Green Bay, WI 54302 USA..
George Washington Univ, Dept Stat, Washington, DC 20052 USA..
Uppsala universitet, Teknisk-naturvetenskapliga vetenskapsområdet, Matematisk-datavetenskapliga sektionen, Matematiska institutionen, Tillämpad matematik och statistik.
2017 (engelsk)Inngår i: Computational statistics (Zeitschrift), ISSN 0943-4062, E-ISSN 1613-9658, Vol. 32, nr 4, s. 1309-1322Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Ranked set sampling (RSS) is a sampling approach that can produce improved statistical inference when the ranking process is perfect. While some inferential RSS methods are robust to imperfect rankings, other methods may fail entirely or provide less efficiency. We develop a nonparametric procedure to assess whether the rankings of a given RSS are perfect. We generate pseudo-samples with a known ranking and use them to compare with the ranking of the given RSS sample. This is a general approach that can accommodate any type of raking, including perfect ranking. To generate pseudo-samples, we consider the given sample as the population and generate a perfect RSS. The test statistics can easily be implemented for balanced and unbalanced RSS. The proposed tests are compared using Monte Carlo simulation under different distributions and applied to a real data set.

sted, utgiver, år, opplag, sider
2017. Vol. 32, nr 4, s. 1309-1322
Emneord [en]
Imperfect rankings, Order statistics, Ranked set sampling, Resampling
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-339732DOI: 10.1007/s00180-016-0698-7ISI: 000413025300004OAI: oai:DiVA.org:uu-339732DiVA, id: diva2:1177890
Tilgjengelig fra: 2018-01-26 Laget: 2018-01-26 Sist oppdatert: 2018-01-26bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekst

Personposter BETA

Zwanzig, Silvelyn

Søk i DiVA

Av forfatter/redaktør
Zwanzig, Silvelyn
Av organisasjonen
I samme tidsskrift
Computational statistics (Zeitschrift)

Søk utenfor DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric

doi
urn-nbn
Totalt: 121 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf