-
- 渋谷 政昭
- 高千穂大学経営学部
書誌事項
- タイトル別名
-
- Normal Scores in Tests of Independence
- オボエガキ セイキ スコア ト ドクリツセイ ケンテイ
この論文をさがす
説明
When applying a multivariate statistical method based on the normality assumption to non-normal data, one is tempted to use normal scores for those variates which are apparently non-normal. However, even if all marginal distributions are normal, the joint distribution is not necessarily normal and the method may fail. As a simple counter example, a degenerate bivariate copula which is symmetric about the y-axis, and its normal transformation, the Degenerated Uncorrelated Marginally Normal (DUMgN) distribution, are introduced. Pearson correlation tests of samples from the DUMgN are simulated, and the power of the test is shown to be too poor to be useful. Two other distributions, which are symmetric about both the x and y axes, one is degenerate and the other non-degenerate, are used to further demonstrate the poor performance.
収録刊行物
-
- 応用統計学
-
応用統計学 34 (2), 121-138, 2005
応用統計学会
- Tweet
キーワード
詳細情報 詳細情報について
-
- CRID
- 1390282679419040384
-
- NII論文ID
- 10017178540
-
- NII書誌ID
- AN00330942
-
- ISSN
- 18838081
- 02850370
-
- NDL書誌ID
- 7969892
-
- 本文言語コード
- ja
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
-
- 抄録ライセンスフラグ
- 使用不可