Nonlinear Computer Modeling of Chemical and Biochemical Data Review

Average Reviews:

(More customer reviews)In page 18, the equation
y=A'exp(-kt)+mt+b (2.22)
is transformed by taking the logarithm of both sides, the authors say
ln y=-kt+lnA'+ln(mt+b) (2.23)
is obtained.
This is wrong!
For instance,
17=10+7 but, ln 17 is NOT equal to ln 10 + ln 7.
In page 17, a very important point about linearizing the nonlinear data is mentioned. A weighted lease-squares is needed in logarithmic transformation.
But, in many actual applications, HPLC method is used. In such data, the noise (error) is expressed as coefficient of variation, not a constant variance.
In this case, weighting is not really needed. A practical aspect like this has to be explored in more details.
This book however has collected many topics in chemical data analysis from literatures, and can be a good reference in many disciplines.

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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 principles and models for each technique, examples of computer modeling for real and theoretical data sets, and examples from the literature specific to each instrumental technique.The book also offers detailed tutorial on how to construct suitable models and a score list of appropriate mathematics software packages.