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Description
  • A modification of the Fay–Herriot model is introduced to treat situations where small areas are divided in two groups and domain random effects have different variances across the groups. The model is applicable to data having a large subset of domains where direct estimates of the variable of interest cannot be described in the same way as in its complementary subset of domains. This is generally the case when domains are constructed by crossing geographical characteristics with sex. Algorithms and formulas to fit the model, to calculate EBLUPs and to estimate mean squared errors are given. Monte Carlo simulation experiments are presented to illustrate the gain of precision obtained by using the proposed model and to get some practical conclusions. A motivating application to Spanish Labour Force Survey data is also given.
  • A modification of the Fay–Herriot model is introduced to treat situations where small areas are divided in two groups and domain random effects have different variances across the groups. The model is applicable to data having a large subset of domains where direct estimates of the variable of interest cannot be described in the same way as in its complementary subset of domains. This is generally the case when domains are constructed by crossing geographical characteristics with sex. Algorithms and formulas to fit the model, to calculate EBLUPs and to estimate mean squared errors are given. Monte Carlo simulation experiments are presented to illustrate the gain of precision obtained by using the proposed model and to get some practical conclusions. A motivating application to Spanish Labour Force Survey data is also given. (en)
Title
  • A Fay-Herriot Model with Different Random Effect Variances
  • A Fay-Herriot Model with Different Random Effect Variances (en)
skos:prefLabel
  • A Fay-Herriot Model with Different Random Effect Variances
  • A Fay-Herriot Model with Different Random Effect Variances (en)
skos:notation
  • RIV/67985556:_____/11:00365252!RIV12-AV0-67985556
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(1M0572), S, Z(AV0Z10750506), Z(MSM6840770039)
http://linked.open...iv/cisloPeriodika
  • 5
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 183785
http://linked.open...ai/riv/idVysledku
  • RIV/67985556:_____/11:00365252
http://linked.open...riv/jazykVysledku
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  • small area estimation; Fay-Herriot model; Linear mixed model; Labor Force Survey (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [B3C678264582]
http://linked.open...i/riv/nazevZdroje
  • Communications in Statistics - Theory and Methods
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http://linked.open...ichTvurcuVysledku
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  • 40
http://linked.open...iv/tvurceVysledku
  • Esteban, M. D.
  • Herrador, M.
  • Hobza, Tomáš
  • Morales, D.
http://linked.open...ain/vavai/riv/wos
  • 000284884400002
http://linked.open...n/vavai/riv/zamer
issn
  • 0361-0926
number of pages
http://bibframe.org/vocab/doi
  • 10.1080/03610920903480858
is http://linked.open...avai/riv/vysledek of
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