JSM Activity #192

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Activity ID:  192
Title
! Multivariate Data Reduction Using Statistical Software
Date / Time / Room Sponsor Type
08/13/2002
10:30 AM - 12:20 PM
Room: H-Gramercy Suite B 		Biometrics Section*, ENAR, Section on Quality & Productivity*, Section on Risk Analysis* Invited
Organizer: Dayanand N. Naik, Old Dominion University
Chair: Dayanand N. Naik, Old Dominion University
Discussant:  
Floor Discussion 12:05 PM
Description

The statistical practice has changed in recent times due to the fact that we have to deal with large data sets and also due to the availability of statistical software. Data reduction is a major issue in many such situations. The focus of this session is to show how statistical software can be utilized to implement various methods of data reduction to reduce high dimensional data to perform various analyses. Speakers in this session will illustrate the use of different statistical software, e.g., SAS and XL-minor, for this endeavor.
  300118  By:  Nitin   Patel 10:35 AM 08/13/2002
Subset Selection in Regression Models using Simulated Annealing: Software and Experiences

  300119  By:  J. Sunil Rao 11:05 AM 08/13/2002
Detecting Differentially Expressed Genes with Microarrays Using Bayesian Model Selection

  300120  By:  Ravindra  Khattree 11:35 AM 08/13/2002
Correspondence Analysis Using SAS Software: Data Reduction Technique for Contingency Tables

JSM 2002

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Revised March 2002