The phrase "a robust weighted" is correct and usable in written English.
It can be used in contexts where you are describing something that is both strong or effective (robust) and involves some form of measurement or consideration (weighted).
Example: "The study employed a robust weighted analysis to ensure accurate results."
Alternatives: "a strong weighted" or "a solid weighted".
Model parameters were estimated using a robust Weighted Least Squares Method with Diagonal Weight Matrix (WLSMV) in Mplus 7.2 [ 36].
The estimator defined in (13) can be used to extend the GCD-based estimator to a robust weighted filter structure.
Thus, we propose a robust weighted block Newton (WBN) and variable step size WBN (VSSWBN) algorithms that use the Newton method instead of the LMS method.
GAT is achieved in terms of one single sensor by a robust weighted least square (RWLS) algorithm and KSS is studied for representative transfer sample subset selection from a large sample space.
A robust weighted least squares (WLS) measurement fusion filter is also presented only based on the measurement equation, and it is proved that the robust accuracy of the robust CF or WMF Kalman filter is higher than that of robust WLS filter.
Signals were calculated using the One-Step Tukey's Biweight Estimate which yields a robust weighted mean.
Because the items of the RPQ are scored on an ordinal scale, the robust weighted least squares estimator was used.
The IGRF-12 task force voted in favor (but not unanimously) to allocate Huber weights in space and to compute the Gauss coefficients using a robust iterative weighted least squares algorithm.
Factor scores were derived via a Confirmatory Factor Analysis (CFA) performed using Robust Weighted Least Squares as the estimation method to allow for the ordinal nature of the SDQ ratings.
Normalization was carried out on the log-transformed peptide abundances by fitting a robust locally weighted regression smoother (LOESS) between the individual samples and a median pseudo-sample.
The significant non-normality of categorical data as indicated by item analyses was taken into account by applying the Robust Weighted Least Square estimation (WLSMV) with a mean- and variance adjusted chi-square test statistic that uses a full weight matrix (see [ 22] pp. 399 400).
