The grouping problem in distribution-free general linear regression
thesisposted on 2023-05-27, 18:33 authored by Pella, Marthinus J
An exact distribution-free method is proposed for solving general linear regression problems, which have identically distributed errors and one of the slope parameters of interest. The method reduces the model to simple linear regression form through grouping of observations, and then uses an exact distribution-free method for slope in simple linear regression to test or estimate the parameter of interest. Of course reducing the model involves a loss of efficiency. The choice of an optimal grouping to minimize efficiency loss is discussed.
Rights statementCopyright the Author - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from copyright owner(s). Thesis (M.Sc.)--University of Tasmania, 1992. Includes bibliographical references (p. 78-79).