一般化線形モデルにおける「変換」について

• 田崎 武信

  塩野義製薬(株)解析センター研究所室

• 後藤 昌司

  塩野義製薬(株)解析センター

書誌事項

タイトル別名

• ON "TRANSFORMATION" IN GENERALIZED LINEAR MODELS

抄録

We demonstrate delicate but important differences between two types of transformation. The first transformation is by a link function which transforms expectations of observations to their linear predictors in context of the generalized linear model. The second is common transformation of observations themselves, such as Box-Cox's one. We can combine these two types of transformation into a double transformation model. Through the extended model we check which type of transformation is appropriate to several sets of practical data.

収録刊行物

• 計算機統計学

  計算機統計学 3 (1), 45-53, 1990

  日本計算機統計学会

キーワード

• Transformation
• Generalized linear model
• Box-Cox transformation
• Statistical diagnosis

詳細情報

• CRID: 1390001204382398592
• NII論文ID: 110001236572
• DOI: 10.20551/jscswabun.3.1_45
• ISSN: 21899789
• ISSN: 09148930
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可