Statistical methodology for binary data from a set of partially structured two-way random cross-classifications
Kempthorne, W. Joan; Koch, Gary G.; Kempthorne, W. Joan; University of Illinois at Chicago; Koch, Gary G.; University of North Carolina
Журнал:
Communications in Statistics - Theory and Methods
Дата:
1983
Аннотация:
A complete two-way cross-classification design is not practical in many settings. For example, in a toxicological study where 30 male rats are mated with 30 female rats and each mating outcome (successful or unsuccessful)is observed, time and resource considerations can make the use of the complete design prohibitively costly. Partially structured variations of this design are, therefore, of interest (e.g., the balanced disjoint rectangle design, the fully diagonal design, and the "S"-design). Methodology for analyzing binary data from such incomplete designs is illustrated with an example. This methodology, which is based on infinite population sampling arguments, allows the estimation of the mean response, among-row correlation coefficient, among-column correlation coefficient, and the within-cell correlation coefficient as well as their standard errors.
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