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Discover Ludwig'Least squares estimation' is a correct and commonly used phrase in written English, especially in fields such as statistics, mathematics, and physics
Example: The researcher used least squares estimation to determine the most accurate regression line for the data set.
Exact(45)
Least squares estimation is derived, and the asymptotic distribution of the proposed estimator is established.
The horizontal velocities for the east and north components were estimated using least squares estimation (LSE).
The parameters of the model were estimated using least squares estimation.
In Section 3, a fuzzy least squares estimation is proposed to estimate parameter α.
Data were modeled and key parameters estimated using a non-linear least squares estimation algorithm.
First, based on the extended least squares estimation algorithm, a LQG controller adapting to the estimated road characteristics is designed.
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Temporal RFs were estimated via least-squares estimation.
Topics in estimation include least-squares estimation, and the Kalman filter and its extensions for estimating the states of dynamic systems.
An algorithm for least-squares estimation of nonlinear parameters.
Marquardt, D. An algorithm for least-squares estimation of nonlinear parameters.
When the data points have non-Gaussian distributions, least-squares estimation is no longer appropriate.
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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