The phrase "are suitable for estimating" is correct and usable in written English.
You can use it when discussing the appropriateness of certain methods, tools, or data for the purpose of making estimates.
Example: "The provided data sets are suitable for estimating the project's overall costs and timelines."
Alternatives: "are appropriate for estimating" or "are fit for estimating".
The set of tests can effectively represent components at different locations in a structure, and so are suitable for estimating stochastic dependence in model parameters.
For the area of biomass production, explanatory models were used to generate parameters and multivariable polynomial equations for basic models that are suitable for estimating the direction and magnitude of daily changes in canopy gas-exchange, harvest index, and production scheduling for both nominal and off-nominal growing conditions.
However, not all Cohen's class distributions are suitable for estimating time-varying spectrum, especially for time-varying coherence.
Although actual beds are irregular, especially during the development of bedforms (before reaching equilibrium), this relation can be applied to the data of Betat et al. (2002), because these are spatial averages for each moment and are obtained through precise measurements and calculations; therefore, they are suitable for estimating the overall trend of the sand flux.
As estimates of national aggregates, they are suitable for estimating the overall shortages and surpluses in a country.
Thus, these models are suitable for estimating chronic exposures of populations living in the conterminous U.S. from 1988 to 2007.
We examined patients at eighty years of age and older because multimorbidity, polypharmacy and renal impairment are common in this group of patients and, according to literature, it remains unclear which eGFR-estimation is suitable for estimating kidney function.
However, there are concerns that the data may not be suitable for estimating reference ET due to factors such as weather station siting, fetch requirements, data formats, parameters recorded, and quality control issues.
