The phrase "accommodate error" is correct and usable in written English.
It can be used in contexts where you want to express the idea of allowing for mistakes or inaccuracies in a process or system.
Example: "The software is designed to accommodate error, ensuring that users can recover from mistakes without losing their progress."
Alternatives: "allow for mistakes" or "tolerate inaccuracies".
This is because the benefit of controlled PEV charging is in allowing the system to more easily accommodate errors in estimating wind availability.
Uncertainty is estimated from models fitted to data that typically include a deterministic model (e.g., population growth) and stochastic elements, which should accommodate errors in sampling and any sources of variability that affect observations.
This procedure was used to accommodate errors that may have been introduced during the amplification process.
The first two structures are estimated within a recursive bivariate probit modeling framework that accommodates error covariance.
However, some error is typically associated with estimates of phylogeny for individual genes, and accommodating error in gene trees is difficult in reconciled tree analyses [ 75].
This is because the benefit of controlled PEV charging is in accommodating errors in estimating wind availability.
Thus, instead of scoring the answer based on an exact match (where the correct answer and the user's answer are matched 100%%), in the current implementation, there is an error tolerance to accommodate typing errors (e.g., 85%% similarity score between two strings).
Detailed results are presented in Table 4. Though there is room for improvement in our algorithms to accommodate higher error rates, we have shown that our methodology is reasonably robust to such error rates.
The suggested method works by creating parametric CAD-models to accommodate form error.
In this paper, generalized T distribution is applied to accommodate measurement error distribution, meanwhile, historical data is introduced to estimate the objective function parameters by using Particle Swarm Optimization (PSO) algorithm.
