The term "theoretical weakness" is correct and usable in written English.
You can use it when you want to refer to a hypothetical or abstract flaw or limitation. For example, you might say, "The government's plan has a theoretical weakness in that it does not address certain aspects of the problem."
The effort was based on a long-discussed theoretical weakness of the network: that if one agency controlled a large number of the "exits" from the Tor network, they could identify a large amount of the traffic passing through it.
It does not amount to a theoretical weakness.
However, a significant theoretical weakness in this approach is that the cellular phenotype of the hypothyroid brain in development is significantly different from that of the euthyroid brain.
Despite its widespread use, a known theoretical weakness of the chained equations method is that the implicit joint distribution underlying the separate models may not always exist: that is, the conditional models may be incompatible [ 4, 5, 16- 18].
It is not a cyber attack on the theoretical weaknesses in the algorithms, but rather is a sideway approach to a fully-functioning physical system.
These metrics can be useful, but are somewhat subjective [ 5] and have a number of technical and theoretical weaknesses [ 6].
Furthermore, the results of a process evaluation may provide indications for weaknesses either in the implementation of the program, or theoretical weaknesses, in case of unexpected findings in the effect evaluation.
That said, a previous literature review of IC reveals that many of the conceptual and theoretical weaknesses we have identified in this review are also common outside of the healthcare domain [ 79].
The purpose of this paper was then to compare different setups of the inversion scheme, each one having its own theoretical strengths and weaknesses regarding the different confounding factors.
The theoretical strengths and weaknesses of this approach cannot be detailed here.
Knowledge of model assumptions and the theoretical strengths and weaknesses of different approaches are fundamental for designing models for estimating the probability of morbidity after heart surgery.
