While it is recommended that only a few factors be used when using the random permuted blocks method – as a rule of thumb, the total number of cells should be less than n/2 – DA methods can handle many factors without difficulty (Therneau, 1993).
These methods can increase the recovery factor to more than 50%, hence extending the production life of a field (Tunio et al. 2011).
Mean estimated exposures obtained from non-spatial versus spatial methods can vary by a factor greater than two, and variation within the movement model, due to different habitat preferences, can vary by an order of magnitude.
In sum, this low-level word length factor demonstrates that the factor analysis method can recover a factor that matches a clearly measureable property of the stimuli, and thus serves as a validity check.
As Ulbrich et al. [ 38] pointed out, this assumption of constant factor mass spectra in bilinear methods can limit the retrievability of small factors from AMS datasets.
The conclusion of this paper is that measures targeted by human factors evaluation methods can be grouped into six categories: system performance, task performance, teamwork, use of resources, user experience, and identification of design discrepancies.
Selection of composting methods can be considered in respect to factors such as capital and operating costs, land availability, operational complexity and potential of nuisance problems.
Scenario methods can also be used to identify factors influencing the appropriateness of GPs' decisions.
Marginal and multilevel logistic regression methods can estimate associations between hospital-level factors and patient-level 30-day mortality outcomes after cardiac surgery.
Both transcription factor -and gene-centered methods can be used to systematically identify such interactions.
