10. Results – Various Aspects of the Frameworks and Measurements

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Ph. D. Thesis
	Abstract
	Table of Contents
	1. Introduction
	2. Theory – Fundamentals of the Multivariate Data Analysis
	3. Theory – Quantification of the Refrigerants R22 and R134a: Part I
	4. Experiments, Setups and Data Sets
	5. Results – Kinetic Measurements
	6. Results – Multivariate Calibrations
	7. Results – Genetic Algorithm Framework
	8. Results – Growing Neural Network Framework
	9. Results – All Data Sets
	10. Results – Various Aspects of the Frameworks and Measurements
		10.1. Single or Multiple Analyte Rankings
		10.2. Stopping Criteria for the Parallel Frameworks
		10.3. Optimization of the Measurements
		10.4. Robustness and Comparison with Martens' Uncertainty Test
	11. Summary and Outlook
	12. References
	13. Acknowledgements
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10. Results – Various Aspects of the Frameworks and Measurements

In this chapter, several minor issues concerning the frameworks and the time-resolved measurements are dealt with using the data of the previous chapter.

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