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Mathematical Statistics with Mathematica

Colin Rose
Theoretical Research Institute, Sydney, Australia
colin@tri.org.au

Murray D. Smith
University of Sydney, Australia
Murray.Smith@econ.usyd.edu.au

We present a unified approach for doing mathematical statistics with Mathematica. At one extreme, our PDF package empowers even the "statistically challenged" with the ability to perform complicated operations without realizing it. At the other extreme, it enables the professional statistician to tackle tricky multivariate distributions, generating functions, transformations, symbolic maximum likelihood estimation, unbiased estimation, checking (and correcting) of textbook formulae, and so on. By taking full advantage of the latest Version 4 assumptions technology, the PDF package can produce exceptionally clean and neat symbolic output.

south.rotol.ramk.fi/~keranen/IMS99/paper36/Rose.pdf
south.rotol.ramk.fi/~keranen/IMS99/paper36/Rose.nb


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