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Activity Number:
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167
- Special Issues in Modeling
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Type:
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Contributed
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Date/Time:
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Monday, July 31, 2017 : 10:30 AM to 12:20 PM
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Sponsor:
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Korean International Statistical Society
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Abstract #322707
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Title:
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Unique Regression Model(S) for Both Symmetric and Asymmetric Regressed Variable(S)
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Author(s):
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Mian Adnan* and Silvey Shamsi and Rahmatullah Imon
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Companies:
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Ball State University and Ball State University and Ball State University
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Keywords:
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Explained Variable ;
Invariance.
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Abstract:
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All previously derived Regression Models were either based on the normality assumption(s) of the regressed variable and their non-normality counterparts on their asymmetric distributional assumption of the explained variable. The present paper addressed a new sort of common regression model that is suitable for error(s) either following a symmetric distribution or an asymmetric distribution. Attempt for estimation of parameters has also been addressed
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Authors who are presenting talks have a * after their name.
