As discussed, PRR has been divided into "error-prone" and "error-free" branches.
It is the least well characterized of the DNA repair pathways, and is generally divided into error-prone and error-free branches, although there is some disagreement as to the number and sub-branches therein [15] [18].
The genetic relationships between the genes in the PRR pathway and the number of branches therein are a subject of some disagreement, but the pathway is generally divided into error-prone and error-free branches [15] [18] (Figure 3A).
Machining error is divided into static error and cutting state error according to whether the error related to the cutting states.
In contrast to the original NiAc disposition model, the total error is now divided into measurement error and system noise.
The nugget effect can be further divided into measurement error and microscale variation.
Although PRR is traditionally divided into an "error-prone" and an "error-free" branch, ANC1 is not epistatic with all members of either established branch, and instead defines a new error-free branch of the PRR pathway.
Residuals then form the measurement of efficiency and the error term is divided into a stochastic error term and a systematic inefficiency term.
Sampling errors can be divided into four groups: errors originating from inherent sample variability, errors from population variability, sampling design errors, and field procedure errors.
At plot-level, error in biomass estimates can be divided into: (1) model error, such as the choice of a particular allometric model, prediction errors or error on the model parameters [9, 10], and (2) measurement error on the tree growth variables (e.g. tree diameter or height) or omission of trees.
At plot-level, error in biomass estimates can be divided into: (1) model error, such as the choice of a particular allometric model, prediction errors or error on the model parameters [ 9, 10], and (2) measurement error on the tree growth variables (e.g. tree diameter or height) or omission of trees.
