This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 189
Type: Invited
Date/Time: Monday, August 2, 2010 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #309020
Title: Parallel Implementation of Response Surface Regression on R
Author(s): Hao Yu*+
Companies: The University of Western Ontario
Address: Dept of Statistical and Actuarial Sciences, London, ON, N6A 5B7, Canada
Keywords: Response surface ; Parallel Computing ; Rmpi

Many test statistics under null hypothesis don't have closed forms of finite-sample distributions and hence must reply on asymptotic distributions to find critical values or p-values. This often leads to inaccurate assessment of the hypothesis tests. One solution to this problem is to use response surface regression technique. It requires mass simulation to estimate quantiles of the finite-sample distribution or asymptotic approximation with replications for each of different sample sizes. In this poster we will show how to use R package Rmpi to implement this technique. Rmpi is a wrapper to MPI, the most used parallel computing tool, and has its own interactive master and slaves environment. It can be run under Windows, Mac OS X, and Linux platforms. Jaque-Bera normality test will be used as an example.

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