Included are robust measures of effect size and two-stage techniques for controlling the length of confidence intervals.
Designs that are L-optimal for the estimation of heredity are obtained in the sense that the designs minimize the maximum expected normalized length of confidence intervals.
We consider sample size calculation to obtain sufficient estimation precision and control the length of confidence intervals under high dimensional assumptions.
For the calculated interval, as the axial pressure increases, the length of confidence interval is shortened and the upper and lower bounds are reduced.
Thus, the ability to perform many measurements may be an easier experiment to perform to achieve a desired length for confidence intervals.
For example, we can reduce the variance of our estimators and and hence the length of confidence intervals by making the variance of F as large as possible.
Gene models were predicted using the ab initio gene finding programs GeneZilla, GlimmerHMM [ 65], Phat [ 66] and Snap [ 67] that used 395 partial and full length high confidence genes in the training set.
Branch lengths including confidence limits and p-values (likelihood ratio tests) are documented in Table 1.
The TRPs mined out by our procedures are not limited to path lengths or confidence restrictions of the searching algorithms.
The topology of ML, NJ and BY trees were very similar, with differences in branch lengths and confidence values but not in branching pattern.
