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Furthermore, a deciding weight method based on multivariate statistical estimation is applied for weight optimization.
However, decoders solve a high-dimensional multivariate statistical estimation problem that is very ill-posed [ 33] given the typical small sample size.
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The newly developed estimation method utilizes robust multivariate statistical outlier analysis for reliable normal estimation in complex 3D models, considering that these models often contain regions of varying surface roughness, a mixture of high curvature and low curvature regions, and sharp features.
This paper considers the development of multivariate statistical soft sensors for the online estimation of product quality in a real-world industrial batch polymerization process.
Both univariate descriptive statistics and multivariate statistical techniques were employed for the analysis of data.
In this paper an industrial case study is presented where the challenges related to the real-time estimation of the required time to manufacture a resin and to the instantaneous product quality estimation are addressed using multivariate statistical techniques.
So applying statistical estimation would inevitably increase population estimates in Democratic areas, and thus result in more Democrats in Congress.
The aim is to develop a device for on-line estimation of production and quality variables using a multivariate statistical technique like partial least squared (PLS).
First, we identify a method for landscape imperviousness estimation by synergistic use of medium-resolution satellite imagery and high-resolution color orthophoto through multivariate statistical analysis.
multivariate statistical analysis.
Multivariate statistical analysis was used.
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