The phrase "consistently estimate" is correct and usable in written English.
It can be used when discussing the reliability or regularity of estimations in a particular context, such as data analysis or project management.
Example: "In our research, we aim to consistently estimate the impact of climate change on local ecosystems."
Alternatives: "regularly assess" or "reliably evaluate."
Instead, a GMM estimation procedure using instrumental variable (IV) or two-stage least squares (2SLS) estimation is needed to consistently estimate all parameters of the SEM [9].
The maximum likelihood estimator of Δ will consistently estimate the least false value in this other population.
However, if the underlying signal is sparse and β < α, all considered sparse PCA methods can consistently estimate the first loadings vector and become marginally consistent for β = α (Fig. 1a e).
Theoretical results show that SCCA can consistently estimate the true canonical pairs with an overwhelming probability in ultra-high dimensions.
The problem with this tortured analysis is that independent economists consistently estimate the cost to consumers of a low carbon future would be far less — more like 2% of income if we act today.
Field observations indicate that current engineering practice does not consistently estimate ground water flows into unlined rock excavated tunnels due to various factors that analytical solutions do not take into account.
In particular, the material inside the fabricated part often exhibits spatially varying material distribution (heterogeneity) and direction dependent behavior (anisotropy), indicating that the design model is no longer a suitable surrogate to consistently estimate the mechanical performance of the printed component.
In practice, prefectural dummy variables capture prefectural unobserved heterogeneity to consistently estimate the parameters.
The variance of the IPW estimator is consistently estimated provided the weighting is taken into account, e.g., using a sandwich estimator (Robins, Rotnitzky, and Zhao, 1994).
I provide conditions under which the relative accuracy of competing estimators can be consistently estimated (as T→∞), and show that forecast evaluation tests may be adapted to the problem of ranking these estimators.
Again, the estimations for λ decrease as m increases, while the dispersion parameter consistently estimates to be (hat {nu } = 0) (indicating consideration of an appropriate negative binomial model structure).
