We acknowledge the assistance, understanding, and forbearance of our families and our colleagues during the writing of this book, which necessarily took us away from many other projects. Special thanks are extended to Penelope Williams for her patience and kindness with both of us and to Joe Unruh (U.S. Department of Agriculture), who tirelessly and expertly prepared many of the figures for this book. We also are greatly indebted to all of our colleagues and students who contributed to the development of many of the concepts discussed on the following pages.

We thank the graduate students, staff, and postdoctoral fellows in the Electrochemistry Group of the Chemistry Department, Loughborough University of Technology, Loughborough, UK, where the majority of this book was written while one of us was on sabbatical. Specifically, we thank Dr. Roger Mortimer, Dr. Phil Mitchell, and Professor Frank Wilkenson of the Chemistry Department at Loughborough for their kindness and companionship and for making the full facilities of their department available to us. We also thank Simon Foster and Joe Wallace, who were always willing to help out with technical difficulties and cheer up us yanks with humorous comments.

For their interest and contributions of unpublished data, we thank Dr. James D. Stuart, University of Connecticut, and Drs. Harry Farrell and Mike Alaimo, of the U.S. Department of Agriculture. We are grateful to Drs. De-Ling Zhou and Qingdong Huang, who contributed both data and regression analysis results for Chapter 11, and to Dr. Artur Sucheta, University of California at Santa Cruz, who was kind enough to write a section of Chapter 4 on error surfaces and to proofread much of the text.

James F. Rusling Thomas F. Kumosinki

Table of Contents



1 Introduction to Nonlinear Modeling of Data

2 Analyzing Data with Regression Analysis

3 Building Models for Experimental Data Correlation between Parameters and Other

Convergence Problems

5 Titrations Macromolecular Equilibria and Kinetics: Linked Thermodynamic Models Secondary Structure of Proteins by Infrared Spectroscopy

8 Nuclear Magnetic Resonance Relaxation

9 Small-Angle X-Ray Scattering (SAXS) of Proteins

10 Ultracentrifugation of Macromolecules

11 Voltammetric Methods

12 Chronocoulometry

Automated Resolution of Multiexponential Decay Data

Chromatography and Multichannel Detection Methods

Appendix I: Linear Regression Analysis Index

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