Journal of the Korean Data and Information Science Society
- 제19권2호
- /
- Pages.577-585
- /
- 2008
- /
- 1598-9402(pISSN)
A Marginal Probability Model for Repeated Polytomous Response Data
초록
This paper suggests a marginal probability model for analyzing repeated polytomous response data when some factors are nested in others in treatment structures on a larger experimental unit. As a repeated measures factor, time is considered on a smaller experimental unit. So, two different experiment sizes are considered. Each size of experimental unit has its own design structure and treatment structure, and the marginal probability model can be constructed from the structures for each size of experimental unit. Weighted least squares(WLS) methods are used for estimating fixed effects in the suggested model.
키워드