Classification schemes on incomplete block models

Graduate Thesis Or Dissertation

Public Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/s4655j87d

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Attribute Name	Values
Creator	Schroeder, Anita G.
Abstract	A classification scheme will group the blocks of an experimental design model into distinct categories, resulting in a new design with classification parameters instead of block parameters. If the original design is an incomplete block design, some balance is still retained in the classification design, allowing the theoretical development of the analysis. The analysis of the classification procedure is compared to the usual incomplete block analyses for all classification schemes, and examples are given for specific designs. The analysis of covariance and the use of a nested model will be discussed as alternatives to the classification procedure.
Resource Type	Dissertation
Date Available	2013-12-03T20:37:24+00:00
Date Issued	1972-07-24
Degree Level	Doctoral
Degree Name	Doctor of Philosophy (Ph.D.)
Degree Field	Statistics
Degree Grantor	Oregon State University
Commencement Year	1973
Advisor	Hartmann, Norbert A.
Academic Affiliation	Statistics
Non-Academic Affiliation	Oregon State University. Graduate School
Subject	Experimental design
Rights Statement	Copyright Not Evaluated
Publisher	Oregon State University
Peer Reviewed	No
Language	English [eng]
Digitization Specifications	File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0.82 on a Canon DR-9080C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces	http://hdl.handle.net/1957/44594

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