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Contributed paper list


   (Tuesday 4th, 16:00-18:00)

Generating different data sets for linear regression models with the same estimates


Authors

Silvio Sandoval Zocchi, Bryan F J Manly

Presenter


Abstract

For teaching purposes it is sometimes useful to be able to provide the students in a class with different sets of regression data which, nevertheless give exactly the same estimated regression functions. In this paper we describe a method showing how this can be done, with a simple example. We also note that the method can be generalized for situations where the regression errors are not independently distributed with a constant covariance matrix.