Activity Number:
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354
- Contributed Poster Presentations: IMS
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Type:
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Contributed
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Date/Time:
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Tuesday, August 1, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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IMS
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Abstract #322772
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Title:
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Plausibility Regions on the Parameters of Skew Normal Distributions Based on Inferential Models
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Author(s):
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Xiaonan Zhu* and Tonghui Wang and Baokun Li
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Companies:
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New Mexico State University and New Mexico State University and Southwestern University of Finance and Economy, P. R. China
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Keywords:
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Statistical inference ;
Skew normal distribution ;
Inferential model ;
Plausibility function
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Abstract:
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Distributions of the sample mean and sample variance of a random sample from a skew normal population have been studied and closed skew chi-squared distributions have been defined recently by us. Based on our results, in this presentation, plausibility functions and plausibility regions about the location and scale parameters of skew normal distributions are given by using inferential models (IMs), which are new methods for statistical inferences. Some simulation studies are provided for illustration of our results.
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Authors who are presenting talks have a * after their name.