文档介绍：puter Modeling of
Chemical and Biochemical Data
by James F. Rusling, Thomas F. Kumosinski
· ISBN: 0126044902
· Pub. Date: January 1996
Preface
On a warm Connecticut evening in 1989, the two coauthors of this volume
discussed the lack of books that puter modeUng methods, in
particular nonlinear regression analysis, to chemists and biochemists in an
understandable way. Our own early experiences in this field required dig•
ging out information from very good but mathematically dense texts. Thus,
we felt that there was a need for a monograph introducing the practical
aspects of nonUnear regression analysis to the average chemist and bio•
chemist.
This book is the result of our discussions. We attempt to provide a soUd
introduction to the basics of nonlinear regression analysis in a format that
does not rely heavily on mathematical symbohsm. Only a rudimentary
knowledge of algebra, elementary calculus, statistics, puters should
be necessary for the reader. The book is suitable for senior undergraduates
and graduate students in chemistry or biochemistry, as well as professional
practitioners in these fields. Part of the material has been taught to senior
chemistry majors and graduate students in courses puters in analyti•
cal chemistry for 15 years.
For those with more advanced mathematical skills, ample references to
source statistical literature are given in Chapters 1 to 4. These chapters
provide a general introduction to the subject. Near the end of Chapter 2,
we list current sources of software for nonlinear regression.
We present detailed models, examples, and discussions of applications
to specific experimental techniques in Chapters 5 to 14. They include poten-
tiometric titrations, macromolecular equilibria. X-ray scattering, ultracen-
trifugation, electroanalytical methods, and spectroscopic and chromato•
graphic analyses. In most cases, it should be relatively easy for readers to
adapt the models