A connection between the observed best prediction and the fence model selection method

Thuan Nguyen, Jiming Jiang

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

Following our presentation at the Platinum Jubilee on “Observed Best Prediction (OBP) for Small Area Counts”, we discuss a connection between OBP and predictive model selection using the fence methods.

LanguageEnglish (US)
Title of host publicationSpringer Proceedings in Mathematics and Statistics
PublisherSpringer New York LLC
Pages89-94
Number of pages6
Volume244
DOIs
StatePublished - Jan 1 2018

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Platinum
Predictive Model
Model Selection
Prediction Model
Count
Prediction
Presentation

Keywords

  • Fence methods
  • Observed best prediction
  • Predictive model selection
  • Small area estimation

ASJC Scopus subject areas

  • Mathematics(all)

Cite this

Nguyen, T., & Jiang, J. (2018). A connection between the observed best prediction and the fence model selection method. In Springer Proceedings in Mathematics and Statistics (Vol. 244, pp. 89-94). Springer New York LLC. https://doi.org/10.1007/978-981-13-1223-6_9

A connection between the observed best prediction and the fence model selection method. / Nguyen, Thuan; Jiang, Jiming.

Springer Proceedings in Mathematics and Statistics. Vol. 244 Springer New York LLC, 2018. p. 89-94.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Nguyen, T & Jiang, J 2018, A connection between the observed best prediction and the fence model selection method. in Springer Proceedings in Mathematics and Statistics. vol. 244, Springer New York LLC, pp. 89-94. https://doi.org/10.1007/978-981-13-1223-6_9
Nguyen T, Jiang J. A connection between the observed best prediction and the fence model selection method. In Springer Proceedings in Mathematics and Statistics. Vol. 244. Springer New York LLC. 2018. p. 89-94 https://doi.org/10.1007/978-981-13-1223-6_9
Nguyen, Thuan ; Jiang, Jiming. / A connection between the observed best prediction and the fence model selection method. Springer Proceedings in Mathematics and Statistics. Vol. 244 Springer New York LLC, 2018. pp. 89-94
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