INTRODUCTION TO NONLINEAR MODELING OF DATA - CHAPTER 1

Authors: RUSLING, JAMES - UNIV. OF CONNECTICUT; Kumosinski, Thomas

Submitted to: Nonlinear Computer Modeling of Chemical and Biochemical Data
Publication Type: Book / Chapter
Publication Acceptance Date: 5/4/1995
Publication Date: N/A
Citation: N/A

Interpretive Summary: Book chapter: interpretive summary is not required.

Technical Abstract: Chapter 1 gives a general introduction to the scope and objective of the book. A definition of nonlinear modeling is presented: Fitting models to data is central to the quantitative pursuit of modern science. The book is intended as a practical, non- mathematical guide for potential users of nonlinear regression methods in chemistry and biochemistry. Highly mathematical language and symbolism is avoided. A strong tutorial-based approach is taken. This book will help to teach scientists how to use nonlinear regression analysis as an everyday tool. It is written in such a way as to make the methods and applications clear to both inexperienced and somewhat experienced users. The book should serve as a tutorial and also as a selective monograph detailing recent progress. The book is organized as follows. Chapters 1 to 3 provide a general introduction to the details of nonlinear regression analysis, and Chapters 5 through 14 are applications. Each chapter is devoted to a different instrumental technique or model important in modern chemistry or biochemistry. Each of these chapters briefly outline the basic principles of the experiments, give theory and equations that can be used for nonlinear regression models, and discusses the types of results that can be expected. For each technique, at least one example from the research literature is discussed in some detail to illustrate the use of the modeling method.