| Автор | Kempthorne, W. Joan |
| Автор | Koch, Gary G. |
| Дата выпуска | 1983 |
| dc.description | 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. |
| Формат | application.pdf |
| Издатель | Marcel Dekker, Inc. |
| Копирайт | Copyright Taylor and Francis Group, LLC |
| Тема | balanced disjoint rectangular design |
| Тема | correlation diagonal design |
| Тема | "S" design |
| Название | Statistical methodology for binary data from a set of partially structured two-way random cross-classifications |
| Тип | research-article |
| DOI | 10.1080/03610928308828639 |
| Electronic ISSN | 1532-415X |
| Print ISSN | 0361-0926 |
| Журнал | Communications in Statistics - Theory and Methods |
| Том | 12 |
| Первая страница | 2761 |
| Последняя страница | 2777 |
| Аффилиация | Kempthorne, W. Joan; University of Illinois at Chicago |
| Аффилиация | Koch, Gary G.; University of North Carolina |
| Выпуск | 23 |
| Библиографическая ссылка | Bush, N. and Anderson, R. L. 1963. A comparison of three different procedures for estimating variance components. Technometrics, 5: 421–440. |
| Библиографическая ссылка | Gaylor, D. W. 1960. “The construction and evaluation of some designs for the estimation of parameters in random models”. In Institute of Statistics Mimeo Series No. 256, Raleigh: North Carolina State College. |
| Библиографическая ссылка | Kempthorne, W. J. 1982. “The analysis of clustered attribute data from nested and/or classification designs using random effects models”. In Institute of Statistics Mimeo Series No. 1429 Chapel Hill, University of North Carolina. |
| Библиографическая ссылка | Koch, G. G., Freeman, D. H. and Freeman, J. L. 1975. Strategies in the multivariate analysis of data from complex surveys. International Statistical Review, 43: 59–78. |
| Библиографическая ссылка | Koch, G. G., Landis, J. R., Freeman, J. L., Freeman, D. H. and Lehnen, R. G. 1977. A general methodology for the analysis of experiments with repeated measurement of categorical data. Biometrics, 33: 133–158. |
