Transforming response values in small area prediction

Shonosuke Sugasawa, Tatsuya Kubokawa

研究成果: Article査読

19 被引用数 (Scopus)

抄録

In real applications of small area estimation, one often encounters data with positive response values. The use of a parametric transformation for positive response values in the Fay–Herriot model is proposed for such a case. An asymptotically unbiased small area predictor is derived and a second-order unbiased estimator of the mean squared error is established using the parametric bootstrap. Through simulation studies, a finite sample performance of the proposed predictor and the MSE estimator is investigated. The methodology is also successfully applied to Japanese survey data.

本文言語English
ページ(範囲)47-60
ページ数14
ジャーナルComputational Statistics and Data Analysis
114
DOI
出版ステータスPublished - 2017 10月
外部発表はい

ASJC Scopus subject areas

  • 統計学および確率
  • 計算数学
  • 計算理論と計算数学
  • 応用数学

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