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  • 标题:Higher Order Approximation of the Probability Distribution of the Ratio Estimator for a Regression Model
  • 本地全文:下载
  • 作者:Shinichi Kawai
  • 期刊名称:JOURNAL OF THE JAPAN STATISTICAL SOCIETY
  • 印刷版ISSN:1882-2754
  • 电子版ISSN:1348-6365
  • 出版年度:2003
  • 卷号:33
  • 期号:1
  • 页码:65-76
  • DOI:10.14490/jjss.33.65
  • 出版社:JAPAN STATISTICAL SOCIETY
  • 摘要:

    In the present paper, we consider the problem of estimating a ratio ρ = E(Y) / E(X) in a regression model Y = α + βX + U. We obtain the higher order approximation of the probability distribution of the usual ratio estimator based on the sample means. In the gamma, lognormal and exponential cases, the approximation is numerically compared with the normal one and the empirical distribution. We also consider the higher order approximation of the percentage point and the construction of the confidence interval by using the approximation.

  • 关键词:Cornish-Fisher expansion; Edgeworth expansion; higher order approximation; ratio estimator; regression model
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