A generalized dynamic procedure is proposed for sampling-based LES which allows for model parameter optimization and does not require a detailed analysis of the discretization error.
In contrast to homologous recombination (HR), which also repairs DSBs and helps to restart stalled replication forks, NHEJ does not require a template and is thus considered error-prone.
It provides very less probability for instrumental error and does not require a series of standards for calculation of an unknown and also do not require expensive equipment.
That according to relations (5) and (6), any error smaller than ε does not require a nonzero ξ i or ( xi^{prime}_{i} ), and does not enter the objective function (4) (Lia et al. 2007; Hwei-Jen and Jih Pin 2009; Eryarsoy et al. 2009).
The learning control element does not require a dynamic model in the design, and it is effective at reducing reproducible errors at high speed.
Because obtaining optic disc or RNFL images does not require a subjective response from the patient, they may be erroneously considered "real" and without measurement error.
GEE analysis does not require a balanced design (i.e., observations at all measurements for each participant), and it accommodates correlated errors due to repeated measures.
It does not require a lawyer.
The method does not require a priori symmetric information.
Hence, it does not require a symmetric discrete velocity model.
