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# Advanced Excel for Scientific Data Analysis

Combining an easy-going style with an emphasis on practical applications, this greatly expanded second edition is remarkable in scope and coverage. As reviews of the first edition noted, the term "advanced" in the title is not used lightly. Less than a third of its 700+ pages are devoted to least squares analysis, yet the reader will learn about many

## Overview

Combining an easy-going style with an emphasis on practical applications, this greatly expanded second edition is remarkable in scope and coverage. As reviews of the first edition noted, the term "advanced" in the title is not used lightly. Less than a third of its 700+ pages are devoted to least squares analysis, yet the reader will learn about many aspects of this ubiquitous method that are seldom found together in one volume: multivariate and polynomial centering, the statistical uncertainty in uncertainty estimates, how to use the covariance, singular value decomposition, the pros and cons of weighted least squares, moving equidistant least squares, nonlinear least squares, and imprecision contours.

There are lucid chapters on Fourier transformation, convolution and deconvolution, and digital simulation of ordinary differential equations. A new chapter is devoted to some common but often only crudely used mathematical methods, such as numerical differentiation, Romberg integration, and cubic spline interpolation. Another new chapter shows how to use linear algebra on the spreadsheet with Volpi's extensive matrix toolbox of custom functions and macros. A third, newly added chapter describes how to set up the spreadsheet to make it less error-prone, and how to get superaccurate answers in Excel. The substantially enlarged chapter on writing functions and macros now has a set of MacroMorsels to illustrate specific points that otherwise might trip up novice programmers, and a detailed description of Excel's extensive debugging tools. All this is presented in an easily digestible format, illustrated with many examples from the literature, and supported by a large collection of open-access (i.e., fully transparent and user-modifiable) custom functions and macros.

## Editorial Reviews

From the Publisher
"A very useful book that will help users familiar with Excel exploit its computational capacities to the fullest."—Journal of the American Chemical Society

## Product Details

ISBN-13:
9780195370225
Publisher:
Oxford University Press, USA
Publication date:
08/14/2008
Edition description:
2nd Edition
Pages:
736
Product dimensions:
5.90(w) x 9.20(h) x 1.60(d)

## Meet the Author

Robert de Levie earned his Ph.D. at the University of Amsterdam. He was a postdoctoral fellow with Paul Delahay at LSU in Baton Rouge LA for two years, and then for 34 years taught analytical chemistry and electrochemistry at Georgetown University in Washington DC. For ten of those years he was the US editor of the Journal of Electroanalytical Chemistry. Now an emeritus professor, he is associated with Bowdoin College.

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