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We also describe statistical methods applied in the standard data analysis process.
Standard data analysis software like the open source hdf5 library for python (https://www.h5py.org/) can read the container.
A configuration of the apparatus to ensure that no superposition of the elastic wave system develops along the incident bar is thus proposed so as to fulfil standard data analysis requirements, i.e., without any assumptions.
They are preceded by an application of a standard data analysis task which is not based on CI methods.
The standard data analysis for this loading system is based on conservation of sample volume i.e., no fractures as well as homogenous material flow.
Dear Editor, The standard data analysis of genome-wide association study (GWAS) is based on single SNP (single nucleotide polymorphism), thus it ignores combined effect of modest SNPs/genes.
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These employ standard multivariate data analysis methods on the design matrix.
Using standard multivariate data analysis techniques the relation between the variation of the product quality and the process variation could be modeled.
So has a meaningful, open standard for data analysis that was specifically developed for dealing with massive datasets; it's called CRISP-DM.
(3) Echoes identified as ground backscatter using the standard SuperDARN data analysis algorithm (Sundeen et al. 2004) are excluded from the statistical analysis.
It provides a more limited selection of options for standard statistical data analysis and essentially no facilities for data management (subsetting data sets, etc).. So, you would probably want to run S-GeMS in tandem with some other data analysis & management software, such as Excel.
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