Type of Document	Master's Thesis
Author	Glenn, William Alexander
URN	etd-08012012-040035
Title	Analysis of variance of a randomized block design with missing observations
Degree	Master of Science
Department	Statistics
Advisory Committee	Advisor Name Title Kramer, Clyde Y. Committee Chair Harshbarger, Boyd Committee Member Johnston, G. Burke Committee Member Pardue, Louis A. Committee Member
Keywords	Block designs
Date of Defense	1957-09-15
Availability	restricted
Abstract The estimation of several missing values in a randomized block design ls considered. The method used ls that of minimizing the error sum of squares, proposed originally by Yates (1933). Explicit equation for each absent value are derived for all cases in which not more than three values are missing. A general formula valid for any permissible number of missing observations ls given for the case in which no two values are missing in the same block or treatment, and also for the case in which all of the values missing are in a single block or treatment. A procedure for the completely general case is proposed. This, although requiring the inversion of s symmetric matrix of order equal to the number of missing observations, may prove to be less tedious in application than the iterative method proposed by Yates.
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