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...
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th-cmuir.6653943832-467072018-04-25T07:28:11Z Plausibility regions on the skewness parameter of skew normal distributions based on inferential models Xiaonan Zhu Ziwei Ma Tonghui Wang Teerawut Teetranont Agricultural and Biological Sciences © 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 distributions are constructed by using IMs, which are the counterparts of classical confidence intervals in IMs. 2018-04-25T06:59:42Z 2018-04-25T06:59:42Z 2017-02-01 Book Series 1860949X 2-s2.0-85012887076 10.1007/978-3-319-50742-2_16 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887076&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46707 |
| institution |
Chiang Mai University |
| building |
Chiang Mai University Library |
| country |
Thailand |
| collection |
CMU Intellectual Repository |
| topic |
Agricultural and Biological Sciences |
| spellingShingle |
Agricultural and Biological Sciences Xiaonan Zhu Ziwei Ma Tonghui Wang Teerawut Teetranont Plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| description |
© 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 distributions are constructed by using IMs, which are the counterparts of classical confidence intervals in IMs. |
| format |
Book Series |
| author |
Xiaonan Zhu Ziwei Ma Tonghui Wang Teerawut Teetranont |
| author_facet |
Xiaonan Zhu Ziwei Ma Tonghui Wang Teerawut Teetranont |
| author_sort |
Xiaonan Zhu |
| title |
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| title_short |
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| title_full |
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| title_fullStr |
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| title_full_unstemmed |
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| title_sort |
plausibility regions on the skewness parameter of skew normal distributions based on inferential models |
| publishDate |
2018 |
| url |
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887076&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46707 |
| _version_ |
1681422924293079040 |