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Covariance Structures of Linear Models

Author(s)
A. K. Gupta Bowling Green State University Bowling Green,Ohio,USA
D. G. Kabe 5971 Greensboro Dr., Mississauga, Canada
Abstract
Young, Scariano, and Hallum (2005) study two univariate linear regression models, and establish a certain condition for the variances estimates to be equal; however, the condition is in error. They then apply this incorrect condition to some unknown completely randomized design model. The present paper records the correct condition for the equality of the context variances, and points out that this condition cannot be applied to experimental design models. 
Publication Details
Page(s) 465-472
DOI DOI not available
Published Journal: Pakistan Journal of Statistics and Operation Research, Volume: 7, Issue: 2, Year: 2011

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Keywords
Full rank generalized inverse, Generalized inverse, Equality of regression parametric estimates, Moore-Penrose inverse, Equality of their covariances, Randomized Blocks design
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