Abstract
Chapter 9 introduced the use of class variables, with which the classical analyses of variance for balanced data became special cases of least squares regression.
This chapter discusses the analysis of unbalanced data using least squares regression with class variables. Emphasis is on understanding estimability and the estimable functions of the parameters that are tested by the various sums of squares. Treatment means adjusted for the effects of imbalance are defined.
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© 1998 Springer-Verlag New York, Inc.
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(1998). Analysis of Unbalanced Data. In: Rawlings, J.O., Pantula, S.G., Dickey, D.A. (eds) Applied Regression Analysis. Springer Texts in Statistics. Springer, New York, NY. https://doi.org/10.1007/0-387-22753-9_17
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DOI: https://doi.org/10.1007/0-387-22753-9_17
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98454-4
Online ISBN: 978-0-387-22753-5
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