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Activity Number:
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177
- Big Data and Computationally Intensive Methods
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Type:
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Contributed
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Date/Time:
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Monday, July 29, 2019 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistical Computing
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Abstract #307360
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Presentation
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Title:
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A Sequential Boothstrap/Resampling Method
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Author(s):
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Silvia Sharna* and Mian Adnan
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Companies:
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Ball State University and Indiana University
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Keywords:
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Abstract:
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Since a rare observation resembles not only an unknown probability distribution but also their unknown characteristics, it is better to construct a basket of several characteristics based on subsets of observations. In this paper we offer a sequential-resampling method for generating several correlated observations from the same distribution from where the original sample is drawn. It is a kind of check and balance method for resampling each successive observation.
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Authors who are presenting talks have a * after their name.
