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: Zhu X., Ma Z., Wang T., Teetranont T.
Format: Book Series
Published: 2017
Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887076&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40781
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Institution: Chiang Mai University
id th-cmuir.6653943832-40781
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spelling th-cmuir.6653943832-407812017-09-28T04:11:25Z Plausibility regions on the skewness parameter of skew normal distributions based on inferential models Zhu X. Ma Z. Wang T. Teetranont T. © 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. 2017-09-28T04:11:25Z 2017-09-28T04:11:25Z 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/6653943832/40781
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
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 Zhu X.
Ma Z.
Wang T.
Teetranont T.
spellingShingle Zhu X.
Ma Z.
Wang T.
Teetranont T.
Plausibility regions on the skewness parameter of skew normal distributions based on inferential models
author_facet Zhu X.
Ma Z.
Wang T.
Teetranont T.
author_sort Zhu X.
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 2017
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85012887076&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/40781
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