Nonlinear computer modeling of chemical and biochemical data / James Rusling, Thomas F. Kumosinski.

Format:

Book

Author/Creator:

Rusling, James F.

Contributor:

Kumosinski, Thomas F.

Language:

English

Subjects (All):

Chemistry--Statistical methods--Data processing.

Chemistry.

Regression analysis--Data processing.

Regression analysis.

Nonlinear theories.

Physical Description:

1 online resource (285 p.)

Place of Publication:

San Diego : Academic Press, c1996.

Language Note:

English

Summary:

Assuming only background knowledge of algebra and elementary calculus, and access to a modern personal computer, Nonlinear Computer Modeling of Chemical and Biochemical Data presents the fundamental basis and procedures of data modeling by computer using nonlinear regression analysis. Bypassing the need for intermediary analytical stages, this method allows for rapid analysis of highly complex processes, thereby enabling reliable information to be extracted from raw experimental data.By far the greater part of the book is devoted to selected applications of computer modeling to vari

Contents:

Front Cover; Nonlinear Computer Modeling of Chemical and Biochemical Data; Copyright Page; Contents; Preface; Acknowledgments; Part I: General Introduction to Regression Analysis; Chapter 1. Introduction to Nonlinear Modeling of Data; A. What Is Nonlinear Modeling?; B. Objectives of This Book; References; Chapter 2. Analyzing Data with Regression Analysis; A. Linear Models; B. Nonlinear Regression Analysis; C. Sources of Mathematics Software Capable of Linear and Nonlinear Regression; References; Chapter 3. Building Models for Experimental Data; A. Sources of Data and Background Contributions

B. Examples of Model TypesC. Finding the Best Models; References; Chapter 4. Correlation between Parameters and Other Convergence Problems; A. Correlations and How to Minimize Them; B. Avoiding Pitfalls in Convergence; References; Part II: Selected Applications; Chapter 5. Titrations; A. Introduction; References; Chapter 6. Macromolecuiar Equilibria and Kinetics: Linked Thermodynamic Models; A. The Concept of Linked Functions; B. Applications of Thermodynamic Linkage; References; Chapter 7. Secondary Structure of Proteins by Infrared Spectroscopy; A. Introduction

B. Analysis of Spectra-ExamplesReferences; Chapter 8. Nuclear Magnetic Resonance Relaxation; A. Fundamentals of NMR Relaxation; B. Applications from NMR in Solution; C. Applications from NMR in the Solid State; References; Chapter 9. Small-Angle X-Ray Scattering (SAXS) of Proteins; A. Theoretical Considerations; B. Applications; References; Chapter 10. Ultracentrifugation of Macromolecules; A. Sedimentation; References; Chapter 11. Voltammetric Methods; A. General Characteristics of Voltammetry; B. Steady State Voltammetry; C. Cyclic Voltammetry; D. Square Wave Voltammetry; References

Chapter 12. ChronocoulometryA. Basic Principles; B. Estimation of Diffusion Coefficients; C. Surface Concentrations of Adsorbates from Double Potential Steps; D. Rate Constant for Reaction of a Product of an Electrochemical Reaction; References; Chapter 13. Automated Resolution of Multiexponential Decay Data; A. Considerations for Analyses of Overlapped Signals; B. Automated Analysis of Data with an Unknown Number of Exponentials; References; Chapter 14. Chromatography and Multichannel Detection Methods; A. Overlapped Chromatographic Peaks with Single-Channel Detection

B. Multichannel DetectionReferences; Appendix I. Linear Regression Analysis; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

1-281-02942-4

9786611029425

0-08-053768-5

OCLC:

476098865