A New Family of Parametric Links for Binomial Generalized Linear Models
-
- Taneichi Nobuhiro
- Department of Mathematics and Computer Science, Graduate School of Science and Engineering, Kagoshima University
-
- Sekiya Yuri
- Hokkaido University of Education
-
- Toyama Jun
- The Institute for the Practical Application of Mathematics
この論文をさがす
抄録
In a generalized linear model with binary response, the role of a link function is important to find a model that fits data well. Aranda-Ordaz (1981) proposed a family of link functions that includes a logistic link function and a complementary log-log function. In this paper, we propose a new family of models on the basis of a family of link functions by extending the family proposed by Aranda-Ordaz (1981). We also consider tests to determine whether the new model fits data well. Examples of artificial and real data showing that our new model is more appropriate than the Aranda-Ordaz model are presented.
収録刊行物
-
- JOURNAL OF THE JAPAN STATISTICAL SOCIETY
-
JOURNAL OF THE JAPAN STATISTICAL SOCIETY 44 (2), 119-133, 2014
日本統計学会
- Tweet
詳細情報 詳細情報について
-
- CRID
- 1390282680262931712
-
- NII論文ID
- 130005149972
-
- NII書誌ID
- AA1105098X
-
- ISSN
- 13486365
- 18822754
-
- NDL書誌ID
- 026249970
-
- 本文言語コード
- en
-
- データソース種別
-
- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
-
- 抄録ライセンスフラグ
- 使用不可