Loading...
2 results
Search Results
Now showing 1 - 2 of 2
- Sparse designs for estimating variance components of nested factors with random effectsPublication . Bailey, R. A.; Fernandes, Célia; Ramos, PauloA new class of designs is introduced for both estimating the variance components of nested factors and testing hypotheses about those variance components. These designs are flexible, and can be chosen so that the degrees of freedom are more evenly spread among the factors than they are in balanced nested designs. The variances of the estimators are smaller than those in stair nested designs of comparable size. The mean squares used in the estimation process are mutually independent, which avoids some of the problems with staggered nested designs.
- A method to minimize the sum of the variances of the estimators of the variance components in stair nested designsPublication . Fernandes, Célia; Ramos, PauloStair nested designs may be a good alternative to balanced nested designs since we can work with fewer observations and the amount of information for the different factors is more evenly distributed. In stair nested designs the number of treatments is the sum of the "actice" factor levels so these designs lead to a great economy. A method will be used to minimize the sum of the variances of the estimators of the variance components.