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http://dx.doi.org/10.7465/jkdi.2014.25.2.423

Type I projection sum of squares by weighted least squares  

Choi, Jaesung (Department of Statistics, Keimyung University)
Publication Information
Journal of the Korean Data and Information Science Society / v.25, no.2, 2014 , pp. 423-429 More about this Journal
Abstract
This paper discusses a method for getting Type I sums of squares by projections under a two-way fixed-effects model when variances of errors are not equal. The method of weighted least squares is used to estimate the parameters of the assumed model. The model is fitted to the data in a sequential manner by using the model comparison technique. The vector space generated by the model matrix can be composed of orthogonal vector subspaces spanned by submatrices consisting of column vectors related to the parameters. It is discussed how to get the Type I sums of squares by using the projections into the orthogonal vector subspaces.
Keywords
Projection sum of squares; sequential manner; Type I sum of squares; weighted least squares;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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