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Activity Number:
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126
- New Development in Reliability Models and Innovative Applications
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Type:
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Contributed
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Date/Time:
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Monday, July 30, 2018 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Physical and Engineering Sciences
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Abstract #330290
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Title:
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Correlation Analysis of Interval Data
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Author(s):
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Muzi Zhang* and Dennis Lin
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Companies:
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and Pennsylvania State University
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Keywords:
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Interval Data;
Correlation Structure
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Abstract:
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In the era of big data, new types of data reveal themselves. Here we are interested in the Interval Data as it is one of the most common data format. There are usually two situations that result in interval data. One occurs naturally from the data generation process. The other is a result of a large data set summarized into a manageable size. Because of the special format of interval data, where the lower and upper bounds of the interval are provided rather than a single point, traditional statistical analysis methods may not be suitable. The focus of this work is about the correlation structure of interval data. We consider the case where both X and Y are interval valued variables. We will present some of the existing methods together with our idea of constructing correlation structure between interval variables.
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Authors who are presenting talks have a * after their name.
