The phrase "approximation might not be" is correct and usable in written English.
It can be used when discussing the potential inaccuracies or limitations of an approximation in a specific context.
Example: "In this case, the approximation might not be sufficient for our calculations, as we need more precise data."
Alternatives: "estimate may not be" or "calculation could be".
Although its usability, when dealing with multi-variable processes, the resulting Pareto front approximation might not be useful, due to the number of design objectives stated.
Soon after the introduction of Eq. (1), it was recognized that the linear approximation might not be reliable for wide ranges of temperature change.
One possibility is that potential non-independence among the values for different parameters means that AIC might not be a good approximation to the Kullback-Leibler divergence, and that the requirements for the χ2 approximation might not be met for the LRT, thus the degree of freedom is not accurate.
Hence, for our envisioned use case of FD-MIMO systems with large N t and (left |mathcal {S}right |), the achieved approximation performance might not be satisfactory.
Results suggest that the utility of being cured of a given health state might not be a good approximation for the societal value of avoiding this health state, especially in cases of competition between preventive and curative interventions.
Despite these limitations, the results of this study, however, suggest that the utility of being cured of a given health state might not be a good approximation for the societal value of avoiding this health state, especially in cases of competition between preventive and curative interventions.
(To be fair, when I talked to Mr. Hassett, he offered a plausible explanation -- much better than Mr. Glassman's indignant denials that he said what he actually said -- of why the most glaring apparent error in the book might not be too bad an approximation, but the other objections remain).
If so, the infinitely self-similar structures of fractals in our models might not be such a bad approximation after all.
We note that, conceptually, the 2-dimensional approach should cover all BPs identifiable by the 1-dimensional approach, but it might not be always so because of the approximation procedure in the multiple test corrections.
Luckily, finding an optimal solution for the weighted k-clique matching problem might not be always necessary, or even desirable; finding an approximation might be completely satisfactory.
However, for looped pedigrees, P(I′ j | I j ) and P(I′ k | I k ) might not be independent and such derived probability P(s′| s) is an approximation of the actual probability.
