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However, no mathematical framework for data analysis is reported in literature.
A number of big tech companies with an interest in building out the big data market have announced a standard for core elements of a technology framework for data analysis.
The system relies on off-the-shelf hardware components, an open-source software technology for data transfers (ZeroMQ) and a custom software framework for data analysis (AERIE).
Additionally, Bayesian data analysis, which provides a probabilistic framework for data analysis, is considered in detail, since it allows uncertainty quantification and validation of the model selection step.
There is an urgent need for systematically characterizing specific nanostructures over the whole nanometer-size range and developing a general theoretical framework for data analysis and synthesis.
The paper uses a qualitative approach, drawing on the World Health Organization's institutional and Organizational Assessment for Improving and Strengthening health financing (OASIS) conceptual framework for data analysis.
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Recent increase in the size and complexity of electrophysiological data from multidimensional electroencephalography (EEG) and magnetoencephalography (MEG) studies has prompted the development of sophisticated statistical frameworks for data analysis.
The models we examined provided robust frameworks for data analysis.
This is not an easy task as there are few all encompassing conceptual frameworks for data analysis in biology.
Second, rigorous frameworks for data analysis are available in SV independent of the reaction kinetics, whereas chromatographic separation requires slow dissociation.
Similarly, Ting et al. (2009) have recently adopted LIMMA, linear models for microarray data (Smyth 2005), for normalization and statistical analysis of quantitative proteomics data, and they anticipate that more flexible frameworks for data analysis will become increasingly important for sophisticated experimental designs.
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