Why One Needs to Analyze Data
In this chapter you will find a collection of examples of phenomena where the randomness plays an essential role. Browse through them at your leisure, experiment with the data provided, and use this opportunity to ease your way into Mathematica. The idea is to get a general feel for the issues to be discussed later in the book in greater detail.
KeywordsFatigue Income Sarcoma Vorticity Sine
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- W.T. Shaw and J. Tigg, Applied Mathematica, Addison-Wesley, Reading, MA, 1994.Google Scholar
- R. Maeder, Programming in Mathematica, Addison-Wesley, Reading, MA, 1991.Google Scholar
- T.B. Bahder, Mathematica for Scientists and Engineers, Addison-Wesley, reading, MA, 1995.Google Scholar
- E. Martin, Ed., Mathematica 3.0 Standard Add-on Packages, Wolfram Media, Cambridge University Press, Champaign, IL, 1996.Google Scholar
- D. Hoffleit, The Fourth Revised Edition of The Bright Star Catalogue, Yale University Observatory, 1982.Google Scholar
- S.F. Shandarin, Three-dimensional Burgers’ equation as a model for the large-scale structure formation in the universe, Stochastic Models in Geosystems, S.A. Molchanov and W.A. Woyczynski, Eds., Springer-Verlag, New York, 1997.Google Scholar
- W.A. Woyczynski, Göttingen Lectures on Burgers Turbulence, Springer-Verlag, New York, 1998.Google Scholar
- C.H. Bennet, G. Brassard, and A.K. Ekert, Quantum Cryptography, Scientific American, October 1992, pp. 50–57.Google Scholar
- M.F. Barnsley and L.P. Hurd, Fractal Image Compression, AKPeters Ltd., Wellesley, MA. 1993.)Google Scholar
- D. Huff, How to Lie with Statistics, Norton, New York, 1954Google Scholar