In this case the determinant of the entire matrix is the product of the block determinants and can be computed efficiently provided the blocks are small enough.
These isolating blocks can be computed rigorously to provide computer-assisted proofs.
While representative pictures of the aggregates can be computed by using the provided population weights, the dataset is somehow limited to construct representative measures at a high disaggregation level.
Mixture properties can be computed by appropriate mixture rules provided that the composition is known.
The measure of pg/ μg DNA and fg/cell can be computed into pg or ng/mL provided the DNA content/cell and cell number is known.
The variance usually can be estimated through a variance estimator, and confidence intervals can be computed as a means to provide decision makers with the range of values wherein the true population parameter is located with a defined probability.
In practice, arbitrary objective functions can be used provided they can be computed efficiently.
The attributable risk measures provided above can be computed for each of the i=1,…, m observations in a data set.
Unreported confidence intervals for large sample paired binary and numeric data can be computed fairly accurately using simple methods provided the p-value is given.
The proposed modified impact index is such an indicator that has a conceptual interpretation and with the data provided here can be computed for large as well as for small field-specific publication sets in biomedicine.
