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Discover LudwigThe phrase "a framework for estimation" is correct and usable in written English.
It can be used when discussing a structured approach or system for making estimates in various contexts, such as project management, finance, or research.
Example: "We developed a framework for estimation to improve the accuracy of our project timelines."
Alternatives: "a structure for assessment" or "a model for evaluation".
Exact(2)
We have presented a framework for estimation of shooter location and aiming angle from wireless networks where each node has a single microphone.
Second, although the model can be used to assess the possibility of neutrality in the current context, it cannot adequately serve as a framework for estimation given the intricacies of host-pathogen interactions.
Similar(58)
Brilon et al. [39] proposed a framework for capacity estimation at turbo-roundabouts entries.
Here, we present a framework for power estimation at the modeling level of a design using macromodels.
This paper provides a framework for attitude estimation using miniaturized and cost-effective Inertial Measurement Units (IMU).
In[162], the authors proposed a framework for quality estimation where a QoS parameter, packet loss rate, is combined with spatial and temporal complexities of a video.
In this paper, a framework for the estimation of impact damage propagation in GFRP plates is proposed which utilizes a physical model based on Paris' law and data obtained from inspection of GFRP specimens by optical transmission scanning (OTS) technique.
The resulting model provides a framework for risk estimation to counsel women with a family history of breast cancer, allowing one to estimate carrier probabilities (separately for BRCA1 and BRCA2) and incidence rates in the same analysis.
In this section we propose a framework for the estimation of the number of DPPs and consequently of the benefit on mortality, without the need of the case fatality rate.
Particle filters are a Bayesian Monte-Carlo method that provide a general framework for estimation in response to an incoming stream of data.
In this paper, we have introduced a general framework for estimation in the presence of unknown linear nuisance parameters.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com