The size of the dataset allowed for a combination of data analysis approaches.
The data analysis approaches include spectral assessment, as well as descriptive, bivariate and multivariate methods.
Different data analysis approaches have been compared and standard deviation and signal-to-noise ratios have been determined.
Multivariate data analysis approaches are employed to analyze real-time monitoring data, which is synchronized with the simulation environment.
We introduce the general strategies and data analysis approaches utilized in the current pharmacogenomic research and development.
Two different data analysis approaches are considered and compared on choice probability data from a consumer study of orange juice.
This is performed using a combination of analytical techniques and data analysis approaches, focused on the development over time rather than on singular paintings.
Individual profiles from each animal or human were analyzed using the common data analysis approaches for PET (PK modeling of individual profiles) [33, 34].
Information regarding our immediate monitoring, modeling, and data analysis approaches for pollution from the FDNPP accident is provided in the Appendices.
There are two broad categories of ALS data analysis approaches: area based approaches (ABA)/statistical canopy height distribution approaches, and individual tree crown approaches (ITC).
