Abstract Details
Activity Number:
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318
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Type:
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Contributed
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Date/Time:
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Tuesday, August 11, 2015 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Nonparametric Statistics
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Abstract #316754
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View Presentation
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Title:
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Signed-Rank Analysis of a Partial Linear Model with B-Splines Estimated Monotone Nonparametric Function
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Author(s):
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Eddy Kwessi* and Brice Merlin Nguelifack
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Companies:
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Trinity University and Auburn University
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Keywords:
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Rank ;
partial linear ;
B-splines ;
monotone
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Abstract:
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For a partially linear regression model, we propose a signed-rank estimation method. The proposed estimator for the linear unknown parameter vector is shown to have $\sqrt{n}$- consistency while monotone B-splines are used to estimate the unknown monotone nonparametric function. Finite samples simulations are carried out to evaluate the performance of the proposed estimation method and a practical application on the study of Air Pollution data is given.
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Authors who are presenting talks have a * after their name.
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