One of the existing DEA methods' limitations noted in the literature lies in the process of benchmarking of reference targets for inefficient DMUs.
FDG-PET/CT would appear to be the most appropriate method for assessing response to therapy but all methods have limitations in identifying small volume disease.
Both methods had limitations in providing consistent estimates of photosynthetic efficiency or capacity.
Many of these methods have limitations in dealing with individual data rather than aggregate data and in decomposing poverty estimates.
The methods have limitations in applications that involve singularity avoidance, such as motion planning from input parameters.
The competing methods have limitations in distinguishing close sources because their estimates are either too smooth (LORETA, Minimum ℓ1-norm) or too scattered (Minimum ℓ2-norm).
However, the existing theoretical methods have limitations in percolation threshold predictions, and moreover, they are not applicable for hybrid filler systems.
These methods have limitations in that they often may not allow (unless explicitly built as additional questions) differentiation of time asleep from time in bed or estimation of the number and duration of naps when assessing duration of sleep.
However, despite the continuous improvement of visualization algorithms, most existing visualization methods reach limitations in terms of user friendliness when thousands of nodes have to be analyzed and visualized.
However, this method has limitations in removing point clouds belonging to lower objects and preserving ground measurements in topographically complex areas.
