Mathematical Statistics with Mathematica: Mathematical Statistics with Mathematica

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Springer, 2002 - Business & Economics - 481 pages
3 Reviews
This book and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software empowers the student with the ability to solve difficult problems. The professional statistician will be able to tackle tricky multivariate distributions, generating functions, inversion theorems, symbolic maximum likelihood estimation, unbiased estimation, and the checking and correcting of textbook formulae. This is the ideal companion for researchers and students in statistics, econometrics, engineering, physics, psychometrics, economics, finance, biometrics, and the social sciences. The mathStatica CD-ROM includes: mathStatica: The Applications Pack for mathematical statistics, custom Mathematica palettes, live interactive book that is identical to the printed text, online help, trail version of Mathematica 4.0. Colin Rose is Director of the Theoretical Research Institute (Sydney). He has published in leading journals on computer algebra systems and their applications to statistics, economics, and finance. Murry Smith is a senior lecturer in the Department of Econometrics and Business Statistics at the University of Sydney. In 1998-99, he was awarded an Alexander von Humboldt Research Fellowship to visit the University of Munich. He publishes in the fields of statistics, econometric theory, and computer algebra systems. WINNER of The MDTech Prize for Best Software Contribution at COMPSTAT 2002!

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This book is terrible. I would not pay for this. And if you are must read it, download it illegally.

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As another review noted, the original printed book has sold out; I am using the new 2013 eBook edition that comes with the MathStatica add-on to Mathematica.
The eBook and software is particularly
strong on distributions (the MathStatica palettes provide hundreds of them, many of which I haven't even heard of before, and further supports working with any custom pdf), moments, maximum likelihood estimation, order statistics, sampling and monte carlo, and parameter estimation. The text is clear and well-written, I like the worked examples, especially for using them as a base for my own work. The eBook structure and the way it is built into Mathematica is an example to others as to how this should be done, and the index provides mouse click access to thousands of subject entries. Highly recommend it.  

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