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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Main Authors:	Xiaonan Zhu, Ziwei Ma, Tonghui Wang, Teerawut Teetranont
Format:	Book Series
Published:	2018
Subjects:	Agricultural and Biological Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887076&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/46707
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Institution:	Chiang Mai University

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spelling	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

Plausibility regions on the skewness parameter of skew normal distributions based on inferential models

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