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Activity Number: 177 - Big Data and Computationally Intensive Methods
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistical Computing
Abstract #307360 Presentation
Title: A Sequential Boothstrap/Resampling Method
Author(s): Silvia Sharna* and Mian Adnan
Companies: Ball State University and Indiana University

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.

Authors who are presenting talks have a * after their name.

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