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Ph. D. ThesisPh. D. Thesis 10. Results – Various Aspects of the Frameworks and Measurements10. 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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