Estimability considerations for n-way classification experimental arrangements with missing observations Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/xp68kk97k

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  • The problem of determining the estimability of linear parametric functions in classification models is examined. The two estimability problems which are specifically aimed at are: the problem of determining whether the design matrix is of maximal rank (i. e. , all cell expectations are estimable); and in the event that the design matrix is not of maximal rank, the problem of finding a basis for a subspace of estimable parametric functions involving one particular effect. Several procedures for conveniently obtaining spanning sets for certain subspaces of estimable parametric functions in classification models are developed; and for such spanning sets the estimability of single effect as well as the rank of the design matrix is determined.
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  • File scanned at 300 ppi (Monochrome) using ScandAll PRO 1.8.1 on a Fi-6770A in PDF format. CVista PdfCompressor 5.0 was used for pdf compression and textual OCR.
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