Plausibility regions on the skewness parameter of skew normal distributions based on inferential models
© Springer International Publishing AG 2017. Inferential models (IMs) are new methods of statistical inference. They have several advantages: (1) They are free of prior distributions; (2) They rely on data. In this paper, 100(1 − α)% plausibility regions of the skewness parameter of skew-normal dist...
Saved in:
Main Authors: | Zhu X., Ma Z., Wang T., Teetranont T. |
---|---|
格式: | Book Series |
出版: |
2017
|
在線閱讀: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887076&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/40781 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Chiang Mai University |
相似書籍
-
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models
由: Xiaonan Zhu, et al.
出版: (2018) -
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models
由: Xiaonan Zhu, et al.
出版: (2018) -
Skew T and skew normal distributions in modelling insurance loss and reliability data
由: Vo, Phuoc Hiep, et al.
出版: (2011) -
Semigroups admitting skew-ring or skew-semifield structures
由: Manoj Siripitukdet
出版: (2006) -
EM estimation for multivariate skew slash distribution
由: Tian W., et al.
出版: (2017)