JSM 2004 - Toronto

Abstract #301081

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Activity Number: 233
Type: Contributed
Date/Time: Tuesday, August 10, 2004 : 12:00 PM to 1:50 PM
Sponsor: Business and Economics Statistics Section
Abstract - #301081
Title: An Investigation into the Efficiency of Testing Procedures in Heteroscedastic Models
Author(s): Dennis Oberhelman*+ and K. Rao Kadiyala
Companies: University of South Carolina and Purdue University
Address: Moore School of Business, Columbia, SC, 29208,
Keywords: Behrens-Fisher ; simulation ; hypothesis test ; linear models
Abstract:

Testing the differences between population means when the population variances differ is referred to as the Behrens-Fisher problem. This paper considers the Behrens-Fisher problem in a multivariate setting. It reviews several recently proposed tests and evaluates their efficiency through Monte Carlo simulation.

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