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2017 | OriginalPaper | Chapter

Plausibility Regions on the Skewness Parameter of Skew Normal Distributions Based on Inferential Models

Authors : Xiaonan Zhu, Ziwei Ma, Tonghui Wang, Teerawut Teetranont

Published in: Robustness in Econometrics

Publisher: Springer International Publishing

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Abstract

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, \(100(1-\alpha )\%\) 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.

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Appendix
Available only for authorised users
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Metadata
Title
Plausibility Regions on the Skewness Parameter of Skew Normal Distributions Based on Inferential Models
Authors
Xiaonan Zhu
Ziwei Ma
Tonghui Wang
Teerawut Teetranont
Copyright Year
2017
DOI
https://doi.org/10.1007/978-3-319-50742-2_16

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