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If you're involved in electrochemistry, sooner or later someone is going
to expect you to make quantitative sense out of your data. If you have to analyze your
data via a computer, these books are for you.
"Numerical Recipes. The
Art of Scientific Computing" by Press, Teukolsky, Vetterling, & Flannery
NEW EDITION
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For the scientist, this book is better than a degree in mathematics. Yes, there are
C++ code
snippets here for everything from FFT to statistics, but that is only part of the value of
this book. The concepts and equations are generally well presented, but as tools, not as
theorems to be proven. In many ways, the code examples are secondary. I confess to having
translated their C code for an FFT into Visual Basic, but I also
find this book better for statistics than many mathematics books
on the subject. The math presented here is meant to be used. If
you are involved in the quantitative evaluation of your data,
this book belongs on your bookshelf, even if you are not the one
doing the programming.
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"Fitting Models to Biological
Data Using Linear and Nonlinear Regression" by Motulsky & Christopoulos
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I got this book so I could learn more about deciding which of two
models fit my data better, and it has several chapters that speak
directly to that question. Although this book has some of the
flavor of "How to use GraphPad Software's Prism," there's
still plenty of good stuff here.
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