Data Analysis with Open Source Tools by Philipp K. Janert
Author:Philipp K. Janert
Language: eng
Format: epub, pdf
Tags: COMPUTERS / Mathematical & Statistical Software
ISBN: 9781449394882
Publisher: O’Reilly Media
Published: 2010-11-10T16:00:00+00:00
Use specialized methods if available and applicable. Time series, for instance, should be treated with the techniques discussed in Chapter 4.
You may have noticed that none of these suggestions involve least squares!
Further Reading
Every introductory statistics book covers the standard deviation and least squares (see the book recommendations in Chapter 10). For the alternatives to least squares, consult a book on numerical analysis, such as the one listed here.
Numerical Methods That (Usually) Work. Forman S. Acton. 2nd ed., Mathematical Association of America. 1997.
Although originally published in 1970, this book does not feel the least bit dated—it is still one of the best introductions to the art of numerical analysis. Neither a cookbook nor a theoretical treatise, it stresses practicality and understanding first and foremost. It includes an inimitable chapter on “What Not to Compute.”
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