Abstract Details
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Activity Number:
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602
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Type:
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Contributed
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Date/Time:
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Thursday, August 7, 2014 : 8:30 AM to 10:20 AM
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Sponsor:
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IMS
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Abstract #311372
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Title:
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Estimating the Parameters of Unified Skew Normal Distribution Using Weighted Moments
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Author(s):
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Mohammad Aziz*+
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Companies:
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University of Wisconsin-Eau Claire
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Keywords:
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Unified skew normal distribution ;
Weighted moments ;
Moment generating function ;
Boxplot ;
Histogram
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Abstract:
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In recent years, there has been considerable interest among researchers in modeling skewness based on the class of skew normal distributions. However, there still remains lots of challenges related to the parameter inference of this class of distributions. In this work, we study weighted moments estimators for the unified skew normal distribution. Our analytical results and numerical illustrations show that weighted moments method accurately estimates the parameters of the unified skew normal distribution.
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Authors who are presenting talks have a * after their name.
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