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Nonlinear Computer Modeling of Chemical and Biochemical Data

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ISBN-10: 0126044902

ISBN-13: 9780126044904

Edition: 1996

Authors: James F. Rusling, Thomas F. Kumosinski

List price: $133.00
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Description:

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 various experiments used in chemical and biochemical research. The discussions include a short review of…    
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Book details

List price: $133.00
Copyright year: 1996
Publisher: Elsevier Science & Technology Books
Publication date: 1/24/1996
Binding: Hardcover
Pages: 268
Size: 6.25" wide x 9.50" long x 0.75" tall
Weight: 1.188
Language: English

General Introduction to Regression Analysis
Introduction to Nonlinear Modeling of Data: What is Nonlinear Modeling? Objectives of this Book
Anayzing Data with Regression Analysis: Linear Models
Nonlinear Regression Analysis
Sources of Mathematics Software Capable of Linear and Nonlinear Regression
Building Models for Experimental Data: Sources of Data and Background Contributions
Examples of Model Types
Finding the Best Models
Correlation Between Parameters and Other Convergence Problems: Correlations and How to Minimize Them
Avoiding Pitfalls in Convergence
Selected Applications
Titrations: Introduction
Macromolecular Equilibria and Kinetics: Linked Thermodynamic Models: The Concept of Linked Functions
Applications of Thermodynamic Linkage
Secondary Structure of Proteins by Infrared Spectroscopy: Introduction
Analysis of Spectra--Examples
Nuclear Magnetic Resonance Relaxation: Fundamentals of NMR Relaxation
Applications from NMR in Solution
Applications from NMR in the Solid State
Small-Angle X-Ray Scattering (SAXS) of Proteins: Theoretical Considerations
Applications
Ultracentrifugation of Macromolecules: Sedimentation
Voltammetric Methods: General Characteristics of Voltammetry
Steady State Voltammetry
Cyclic Voltammetry
Square Wave Voltammetry
Chronocoulometry: Basic Principles
Estimation of Diffusion Coefficients
Surface Concentrations of Adsorbates from Double Potential Steps
Rate Constant for Reaction of a Product of an Electrochemical Reaction
Automated Resolution of Multiexponential Decay Data: Considerations for Analyses of Overlapped Signals
Automated Analysis of Data with an Unknown Number of Exponentials
Chromatography and Multichannel Detection Methods: Overlapped Chromatographic Peaks with Single-Channel Detection
Multichannel Detection
Appendix
Subject Index