Elsevier S & T

Numerical Computer Methods, Part E

Johnson, Michael L.

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Table of contents
  • Table of Contentsvii
  • Contributors to Volume 384ix
  • Prefacexi
  • Volumes in Seriesxiii
  • Chapter 1. A Practical Approach to Interpretation of Singular Value Decomposition Results1
  • Chapter 2. Large Reduction in Singular Value Calculation Time Using Savitzsky–Golay Data Precompre9
  • Chapter 3. Efficient Integration of Kinetic Differential Equation Sets Using Matrix Exponentiation18
  • Chapter 4. Deconvolution Analysis as a Hormone Pulse-Detection Algorithm40
  • Chapter 5. Modeling of Oscillations in Endocrine Networks with Feedback54
  • Chapter 6. Measuring the Coupling of Hormone Concentration Time Series Using Polynomial Transfer Fun82
  • Chapter 7. Numerical Estimation of HbA1c from Routine Self-Monitoring Data in People with Type 1 and94
  • Chapter 8. Wavelet Modeling and Processing of Nasal Airflow Traces106
  • Chapter 9. Quantifying Asynchronous Breathing130
  • Chapter 10. Mixed-Model Regression Analysis and Dealing with Interindividual Differences139
  • Chapter 11. Sample Entropy172
  • Chapter 12. Calculating Sedimentation Coefficient Distributions by Direct Modeling of Sedimentation185
  • Chapter 13. Analysis of Heterogeneous Interactions212
  • Chapter 14. Estimation of Weights for Various Methods of the Fitting of Equilibrium Data from the An232
  • Chapter 15. Applications of NMR Spin Relaxation Methods for Measuring Biological Motions243
  • Author Index265
  • Subject Index275
Book details
  • Vendor Elsevier S & T
  • SKU 9780121827892
  • ISBN-13 9780080497228
  • Author Johnson, Michael L.
  • Category Science
  • Subject Biochemistry

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The contributions in this volume emphasize analysis of experimental data and analytical biochemistry, with examples taken from biochemistry. They serve to inform biomedical researchers of the modern data analysis methods that have developed concomitantly with computer hardware.

Selected Contents: A practical approach to interpretation of SVD results; modeling of oscillations in endocrine networks with feedback; quantifying asynchronous breathing; sample entropy; wavelet modeling and processing of nasal airflow traces