Of the 75 samples analyzed using the BSIN method, 2 had IgG4 measurements greater than the analytic measuring range of the LC-MS/MS method (20 g/L) and, therefore, were not included in subsequent

statistical regression analyses.

It covers the computerized art evaluation of elements of drawings using the elements of the Computer Color-Related Elements Art Therapy Evaluation System (C_CREATES) (provided on the accompanying CD-ROM), and the computerized art interpretation of the drawerAEs psychological state using expert systems,

statistical regression models, and Bayesian networks, including application to differentiation and identification of psychological states and estimating levels of psychological disorder.

Key words: Construction site, Fine inert waste material, Suspended particulate matter, Physico-chemical characterization, Estimation,

Statistical regression.

Therefore, the article suggests a more precise

statistical regression model for wind farm power prediction.

Many ideas have been proposed to monitor dam deformation with

statistical regression analysis or mechanical calculation.

Statistical regression models on the other hand particularly aim at describing and explaining the underlying relationship in a structured way.

The investigators conducted

statistical regression analyses based on ATP data.

Here are a few surprising take-home points from what is after all just one

statistical regression. Nevertheless, the sample is large enough to give any runner pause about plunking down hundreds of dollars on a running shoe.

To this end, we seek to revolutionize scientific and practical modi operandi of data acquisition and learning by developing a new optimization and analysis framework based on the nascent low-dimensional models with broad applications from inverse problems to analog-to-information conversion, and from automated representation learning to

statistical regression. We attack the curse of dimensionality in specific ways, not only by relying on the blessing of dimensionality via concentration-of-measures, but also by exploiting geometric topologies and the diminishing returns (i.e., submodularity) within learning objectives.

There exists vast literature about the regression problem in mathematics, statistics and computer science and there are many

statistical regression methods for this purpose.

However, all advanced computer-driven methods and

statistical regression are firmly within the inferential branch of statistics.