Abstract #301989

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JSM 2003 Abstract #301989
Activity Number: 378
Type: Contributed
Date/Time: Wednesday, August 6, 2003 : 12:00 PM to 1:50 PM
Sponsor: General Methodology
Abstract - #301989
Title: Statistical Methods Mining Based on Bivariate Two-Sample Data Analysis: Preliminary Report
Author(s): Sujung Choi*+
Companies: Texas A&M University
Address: 6200 London Circle, Bryan, TX, 77802-6039,
Keywords: statistical methods mining ; bivariate two-sample ; comparison distribtuion functions ; comparison density functions ; components with orthogonal polynomial score functions ; blood fat concentration data
Abstract:

We discuss all possible statistical methods for bivariate two-sample data so that we can give insights to dataset, which will lead to better decion-making. This process is called "statistical methods mining" (Parzen,1999). By using a coordinate system of statistical methods proposed by Parzen, we motivate the methods of modeling bivariate two-sample cases and testing their homogeniety and dependence based on comparison distribtuion functions and comparison density functions. Finally we analyze blood fat concentration data based on that coordinate system of statistical methods.

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